Float width
Width of the bounding box as a ratio of the overall image width.
Float height
Height of the bounding box as a ratio of the overall image height.
Float left
Left coordinate of the bounding box as a ratio of overall image width.
Float top
Top coordinate of the bounding box as a ratio of overall image height.
List<E> urls
An array of URLs pointing to additional information about the celebrity. If there is no additional information about the celebrity, this list is empty.
String name
The name of the celebrity.
String id
A unique identifier for the celebrity.
ComparedFace face
Provides information about the celebrity's face, such as its location on the image.
Float matchConfidence
The confidence, in percentage, that Rekognition has that the recognized face is the celebrity.
List<E> urls
An array of URLs pointing to additional celebrity information.
String name
The name of the celebrity.
String id
The unique identifier for the celebrity.
Float confidence
The confidence, in percentage, that Amazon Rekognition has that the recognized face is the celebrity.
BoundingBox boundingBox
Bounding box around the body of a celebrity.
FaceDetail face
Face details for the recognized celebrity.
Long timestamp
The time, in milliseconds from the start of the video, that the celebrity was recognized.
CelebrityDetail celebrity
Information about a recognized celebrity.
BoundingBox boundingBox
Bounding box of the face.
Float confidence
Level of confidence that what the bounding box contains is a face.
List<E> landmarks
An array of facial landmarks.
Pose pose
Indicates the pose of the face as determined by its pitch, roll, and yaw.
ImageQuality quality
Identifies face image brightness and sharpness.
BoundingBox boundingBox
Bounding box of the face.
Float confidence
Confidence level that the selected bounding box contains a face.
Float similarity
Level of confidence that the faces match.
ComparedFace face
Provides face metadata (bounding box and confidence that the bounding box actually contains a face).
Image sourceImage
The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported.
Image targetImage
The target image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported.
Float similarityThreshold
The minimum level of confidence in the face matches that a match must meet to be included in the
FaceMatches array.
ComparedSourceImageFace sourceImageFace
The face in the source image that was used for comparison.
List<E> faceMatches
An array of faces in the target image that match the source image face. Each CompareFacesMatch
object provides the bounding box, the confidence level that the bounding box contains a face, and the similarity
score for the face in the bounding box and the face in the source image.
List<E> unmatchedFaces
An array of faces in the target image that did not match the source image face.
String sourceImageOrientationCorrection
The orientation of the source image (counterclockwise direction). If your application displays the source image,
you can use this value to correct image orientation. The bounding box coordinates returned in
SourceImageFace represent the location of the face before the image orientation is corrected.
If the source image is in .jpeg format, it might contain exchangeable image (Exif) metadata that includes the
image's orientation. If the Exif metadata for the source image populates the orientation field, the value of
OrientationCorrection is null and the SourceImageFace bounding box coordinates
represent the location of the face after Exif metadata is used to correct the orientation. Images in .png format
don't contain Exif metadata.
String targetImageOrientationCorrection
The orientation of the target image (in counterclockwise direction). If your application displays the target
image, you can use this value to correct the orientation of the image. The bounding box coordinates returned in
FaceMatches and UnmatchedFaces represent face locations before the image orientation is
corrected.
If the target image is in .jpg format, it might contain Exif metadata that includes the orientation of the image.
If the Exif metadata for the target image populates the orientation field, the value of
OrientationCorrection is null and the bounding box coordinates in FaceMatches and
UnmatchedFaces represent the location of the face after Exif metadata is used to correct the
orientation. Images in .png format don't contain Exif metadata.
Long timestamp
Time, in milliseconds from the beginning of the video, that the moderation label was detected.
ModerationLabel moderationLabel
The moderation label detected by in the stored video.
String collectionId
ID for the collection that you are creating.
Integer statusCode
HTTP status code indicating the result of the operation.
String collectionArn
Amazon Resource Name (ARN) of the collection. You can use this to manage permissions on your resources.
String faceModelVersion
Version number of the face detection model associated with the collection you are creating.
StreamProcessorInput input
Kinesis video stream stream that provides the source streaming video. If you are using the AWS CLI, the parameter
name is StreamProcessorInput.
StreamProcessorOutput output
Kinesis data stream stream to which Rekognition Video puts the analysis results. If you are using the AWS CLI,
the parameter name is StreamProcessorOutput.
String name
An identifier you assign to the stream processor. You can use Name to manage the stream processor.
For example, you can get the current status of the stream processor by calling . Name is idempotent.
StreamProcessorSettings settings
Face recognition input parameters to be used by the stream processor. Includes the collection to use for face recognition and the face attributes to detect.
String roleArn
ARN of the IAM role that allows access to the stream processor.
String streamProcessorArn
ARN for the newly create stream processor.
String collectionId
ID of the collection to delete.
Integer statusCode
HTTP status code that indicates the result of the operation.
String name
The name of the stream processor you want to delete.
String name
Name of the stream processor for which you want information.
String name
Name of the stream processor.
String streamProcessorArn
ARN of the stream processor.
String status
Current status of the stream processor.
String statusMessage
Detailed status message about the stream processor.
Date creationTimestamp
Date and time the stream processor was created
Date lastUpdateTimestamp
The time, in Unix format, the stream processor was last updated. For example, when the stream processor moves from a running state to a failed state, or when the user starts or stops the stream processor.
StreamProcessorInput input
Kinesis video stream that provides the source streaming video.
StreamProcessorOutput output
Kinesis data stream to which Rekognition Video puts the analysis results.
String roleArn
ARN of the IAM role that allows access to the stream processor.
StreamProcessorSettings settings
Face recognition input parameters that are being used by the stream processor. Includes the collection to use for face recognition and the face attributes to detect.
Image image
The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported.
List<E> attributes
An array of facial attributes you want to be returned. This can be the default list of attributes or all
attributes. If you don't specify a value for Attributes or if you specify ["DEFAULT"],
the API returns the following subset of facial attributes: BoundingBox, Confidence,
Pose, Quality and Landmarks. If you provide ["ALL"], all
facial attributes are returned but the operation will take longer to complete.
If you provide both, ["ALL", "DEFAULT"], the service uses a logical AND operator to determine which
attributes to return (in this case, all attributes).
List<E> faceDetails
Details of each face found in the image.
String orientationCorrection
The orientation of the input image (counter-clockwise direction). If your application displays the image, you can
use this value to correct image orientation. The bounding box coordinates returned in FaceDetails
represent face locations before the image orientation is corrected.
If the input image is in .jpeg format, it might contain exchangeable image (Exif) metadata that includes the
image's orientation. If so, and the Exif metadata for the input image populates the orientation field, the value
of OrientationCorrection is null and the FaceDetails bounding box coordinates represent
face locations after Exif metadata is used to correct the image orientation. Images in .png format don't contain
Exif metadata.
Image image
The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported.
Integer maxLabels
Maximum number of labels you want the service to return in the response. The service returns the specified number of highest confidence labels.
Float minConfidence
Specifies the minimum confidence level for the labels to return. Amazon Rekognition doesn't return any labels with confidence lower than this specified value.
If MinConfidence is not specified, the operation returns labels with a confidence values greater
than or equal to 50 percent.
List<E> labels
An array of labels for the real-world objects detected.
String orientationCorrection
The orientation of the input image (counter-clockwise direction). If your application displays the image, you can use this value to correct the orientation. If Amazon Rekognition detects that the input image was rotated (for example, by 90 degrees), it first corrects the orientation before detecting the labels.
If the input image Exif metadata populates the orientation field, Amazon Rekognition does not perform orientation correction and the value of OrientationCorrection will be null.
Image image
The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported.
Float minConfidence
Specifies the minimum confidence level for the labels to return. Amazon Rekognition doesn't return any labels with a confidence level lower than this specified value.
If you don't specify MinConfidence, the operation returns labels with confidence values greater than
or equal to 50 percent.
Image image
The input image as base64-encoded bytes or an Amazon S3 object. If you use the AWS CLI to call Amazon Rekognition operations, you can't pass image bytes.
String faceId
Unique identifier that Amazon Rekognition assigns to the face.
BoundingBox boundingBox
Bounding box of the face.
String imageId
Unique identifier that Amazon Rekognition assigns to the input image.
String externalImageId
Identifier that you assign to all the faces in the input image.
Float confidence
Confidence level that the bounding box contains a face (and not a different object such as a tree).
BoundingBox boundingBox
Bounding box of the face.
AgeRange ageRange
The estimated age range, in years, for the face. Low represents the lowest estimated age and High represents the highest estimated age.
Smile smile
Indicates whether or not the face is smiling, and the confidence level in the determination.
Eyeglasses eyeglasses
Indicates whether or not the face is wearing eye glasses, and the confidence level in the determination.
Sunglasses sunglasses
Indicates whether or not the face is wearing sunglasses, and the confidence level in the determination.
Gender gender
Gender of the face and the confidence level in the determination.
Beard beard
Indicates whether or not the face has a beard, and the confidence level in the determination.
Mustache mustache
Indicates whether or not the face has a mustache, and the confidence level in the determination.
EyeOpen eyesOpen
Indicates whether or not the eyes on the face are open, and the confidence level in the determination.
MouthOpen mouthOpen
Indicates whether or not the mouth on the face is open, and the confidence level in the determination.
List<E> emotions
The emotions detected on the face, and the confidence level in the determination. For example, HAPPY, SAD, and ANGRY.
List<E> landmarks
Indicates the location of landmarks on the face.
Pose pose
Indicates the pose of the face as determined by its pitch, roll, and yaw.
ImageQuality quality
Identifies image brightness and sharpness.
Float confidence
Confidence level that the bounding box contains a face (and not a different object such as a tree).
Long timestamp
Time, in milliseconds from the start of the video, that the face was detected.
FaceDetail face
The face properties for the detected face.
Face face
Describes the face properties such as the bounding box, face ID, image ID of the input image, and external image ID that you assigned.
FaceDetail faceDetail
Structure containing attributes of the face that the algorithm detected.
String collectionId
The ID of a collection that contains faces that you want to search for.
Float faceMatchThreshold
Minimum face match confidence score that must be met to return a result for a recognized face. Default is 70. 0 is the lowest confidence. 100 is the highest confidence.
BoundingBox boundingBox
An axis-aligned coarse representation of the detected text's location on the image.
List<E> polygon
Within the bounding box, a fine-grained polygon around the detected text.
String id
The ID for the celebrity. You get the celebrity ID from a call to the operation, which recognizes celebrities in an image.
String jobId
Job identifier for the required celebrity recognition analysis. You can get the job identifer from a call to
StartCelebrityRecognition.
Integer maxResults
Maximum number of celebrities you want Rekognition Video to return in the response. The default is 1000.
String nextToken
If the previous response was incomplete (because there is more recognized celebrities to retrieve), Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of celebrities.
String sortBy
Sort to use for celebrities returned in Celebrities field. Specify ID to sort by the
celebrity identifier, specify TIMESTAMP to sort by the time the celebrity was recognized.
String jobStatus
The current status of the celebrity recognition job.
String statusMessage
If the job fails, StatusMessage provides a descriptive error message.
VideoMetadata videoMetadata
Information about a video that Rekognition Video analyzed. Videometadata is returned in every page
of paginated responses from a Rekognition Video operation.
String nextToken
If the response is truncated, Rekognition Video returns this token that you can use in the subsequent request to retrieve the next set of celebrities.
List<E> celebrities
Array of celebrities recognized in the video.
String jobId
The identifier for the content moderation job. Use JobId to identify the job in a subsequent call to
GetContentModeration.
Integer maxResults
Maximum number of content moderation labels to return. The default is 1000.
String nextToken
If the previous response was incomplete (because there is more data to retrieve), Amazon Rekognition returns a pagination token in the response. You can use this pagination token to retrieve the next set of content moderation labels.
String sortBy
Sort to use for elements in the ModerationLabelDetections array. Use TIMESTAMP to sort
array elements by the time labels are detected. Use NAME to alphabetically group elements for a
label together. Within each label group, the array element are sorted by detection confidence. The default sort
is by TIMESTAMP.
String jobStatus
The current status of the content moderation job.
String statusMessage
If the job fails, StatusMessage provides a descriptive error message.
VideoMetadata videoMetadata
Information about a video that Amazon Rekognition analyzed. Videometadata is returned in every page
of paginated responses from GetContentModeration.
List<E> moderationLabels
The detected moderation labels and the time(s) they were detected.
String nextToken
If the response is truncated, Rekognition Video returns this token that you can use in the subsequent request to retrieve the next set of moderation labels.
String jobId
Unique identifier for the face detection job. The JobId is returned from
StartFaceDetection.
Integer maxResults
Maximum number of detected faces to return. The default is 1000.
String nextToken
If the previous response was incomplete (because there are more faces to retrieve), Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of faces.
String jobStatus
The current status of the face detection job.
String statusMessage
If the job fails, StatusMessage provides a descriptive error message.
VideoMetadata videoMetadata
Information about a video that Rekognition Video analyzed. Videometadata is returned in every page
of paginated responses from a Amazon Rekognition video operation.
String nextToken
If the response is truncated, Amazon Rekognition returns this token that you can use in the subsequent request to retrieve the next set of faces.
List<E> faces
An array of faces detected in the video. Each element contains a detected face's details and the time, in milliseconds from the start of the video, the face was detected.
String jobId
The job identifer for the search request. You get the job identifier from an initial call to
StartFaceSearch.
Integer maxResults
Maximum number of search results you want Rekognition Video to return in the response. The default is 1000.
String nextToken
If the previous response was incomplete (because there is more search results to retrieve), Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of search results.
String sortBy
Sort to use for grouping faces in the response. Use TIMESTAMP to group faces by the time that they
are recognized. Use INDEX to sort by recognized faces.
String jobStatus
The current status of the face search job.
String statusMessage
If the job fails, StatusMessage provides a descriptive error message.
String nextToken
If the response is truncated, Rekognition Video returns this token that you can use in the subsequent request to retrieve the next set of search results.
VideoMetadata videoMetadata
Information about a video that Amazon Rekognition analyzed. Videometadata is returned in every page
of paginated responses from a Rekognition Video operation.
List<E> persons
An array of persons, , in the video whose face(s) match the face(s) in an Amazon Rekognition collection. It also
includes time information for when persons are matched in the video. You specify the input collection in an
initial call to StartFaceSearch. Each Persons element includes a time the person was
matched, face match details (FaceMatches) for matching faces in the collection, and person
information (Person) for the matched person.
String jobId
Job identifier for the label detection operation for which you want results returned. You get the job identifer
from an initial call to StartlabelDetection.
Integer maxResults
Maximum number of labels you want Amazon Rekognition to return in the response. The default is 1000.
String nextToken
If the previous response was incomplete (because there are more labels to retrieve), Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of labels.
String sortBy
Sort to use for elements in the Labels array. Use TIMESTAMP to sort array elements by
the time labels are detected. Use NAME to alphabetically group elements for a label together. Within
each label group, the array element are sorted by detection confidence. The default sort is by
TIMESTAMP.
String jobStatus
The current status of the label detection job.
String statusMessage
If the job fails, StatusMessage provides a descriptive error message.
VideoMetadata videoMetadata
Information about a video that Rekognition Video analyzed. Videometadata is returned in every page
of paginated responses from a Amazon Rekognition video operation.
String nextToken
If the response is truncated, Rekognition Video returns this token that you can use in the subsequent request to retrieve the next set of labels.
List<E> labels
An array of labels detected in the video. Each element contains the detected label and the time, in milliseconds from the start of the video, that the label was detected.
String jobId
The identifier for a job that tracks persons in a video. You get the JobId from a call to
StartPersonTracking.
Integer maxResults
Maximum number of tracked persons to return. The default is 1000.
String nextToken
If the previous response was incomplete (because there are more persons to retrieve), Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of persons.
String sortBy
Sort to use for elements in the Persons array. Use TIMESTAMP to sort array elements by
the time persons are detected. Use INDEX to sort by the tracked persons. If you sort by
INDEX, the array elements for each person are sorted by detection confidence. The default sort is by
TIMESTAMP.
String jobStatus
The current status of the person tracking job.
String statusMessage
If the job fails, StatusMessage provides a descriptive error message.
VideoMetadata videoMetadata
Information about a video that Rekognition Video analyzed. Videometadata is returned in every page
of paginated responses from a Rekognition Video operation.
String nextToken
If the response is truncated, Rekognition Video returns this token that you can use in the subsequent request to retrieve the next set of persons.
List<E> persons
An array of the persons detected in the video and the times they are tracked throughout the video. An array element will exist for each time the person is tracked.
ByteBuffer bytes
Blob of image bytes up to 5 MBs.
S3Object s3Object
Identifies an S3 object as the image source.
Float brightness
Value representing brightness of the face. The service returns a value between 0 and 100 (inclusive). A higher value indicates a brighter face image.
Float sharpness
Value representing sharpness of the face. The service returns a value between 0 and 100 (inclusive). A higher value indicates a sharper face image.
String collectionId
The ID of an existing collection to which you want to add the faces that are detected in the input images.
Image image
The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported.
String externalImageId
ID you want to assign to all the faces detected in the image.
List<E> detectionAttributes
An array of facial attributes that you want to be returned. This can be the default list of attributes or all
attributes. If you don't specify a value for Attributes or if you specify ["DEFAULT"],
the API returns the following subset of facial attributes: BoundingBox, Confidence,
Pose, Quality and Landmarks. If you provide ["ALL"], all
facial attributes are returned but the operation will take longer to complete.
If you provide both, ["ALL", "DEFAULT"], the service uses a logical AND operator to determine which
attributes to return (in this case, all attributes).
List<E> faceRecords
An array of faces detected and added to the collection. For more information, see collections-index-faces.
String orientationCorrection
The orientation of the input image (counterclockwise direction). If your application displays the image, you can
use this value to correct image orientation. The bounding box coordinates returned in FaceRecords
represent face locations before the image orientation is corrected.
If the input image is in jpeg format, it might contain exchangeable image (Exif) metadata. If so, and the Exif
metadata populates the orientation field, the value of OrientationCorrection is null and the
bounding box coordinates in FaceRecords represent face locations after Exif metadata is used to
correct the image orientation. Images in .png format don't contain Exif metadata.
String faceModelVersion
Version number of the face detection model associated with the input collection (CollectionId).
String arn
ARN of the output Amazon Kinesis Data Streams stream.
String arn
ARN of the Kinesis video stream stream that streams the source video.
String type
Type of the landmark.
Float x
x-coordinate from the top left of the landmark expressed as the ratio of the width of the image. For example, if the images is 700x200 and the x-coordinate of the landmark is at 350 pixels, this value is 0.5.
Float y
y-coordinate from the top left of the landmark expressed as the ratio of the height of the image. For example, if the images is 700x200 and the y-coordinate of the landmark is at 100 pixels, this value is 0.5.
List<E> collectionIds
An array of collection IDs.
String nextToken
If the result is truncated, the response provides a NextToken that you can use in the subsequent
request to fetch the next set of collection IDs.
List<E> faceModelVersions
Version numbers of the face detection models associated with the collections in the array
CollectionIds. For example, the value of FaceModelVersions[2] is the version number for
the face detection model used by the collection in CollectionId[2].
String collectionId
ID of the collection from which to list the faces.
String nextToken
If the previous response was incomplete (because there is more data to retrieve), Amazon Rekognition returns a pagination token in the response. You can use this pagination token to retrieve the next set of faces.
Integer maxResults
Maximum number of faces to return.
List<E> faces
An array of Face objects.
String nextToken
If the response is truncated, Amazon Rekognition returns this token that you can use in the subsequent request to retrieve the next set of faces.
String faceModelVersion
Version number of the face detection model associated with the input collection (CollectionId).
String nextToken
If the previous response was incomplete (because there are more stream processors to retrieve), Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of stream processors.
Integer maxResults
Maximum number of stream processors you want Rekognition Video to return in the response. The default is 1000.
Float confidence
Specifies the confidence that Amazon Rekognition has that the label has been correctly identified.
If you don't specify the MinConfidence parameter in the call to DetectModerationLabels,
the operation returns labels with a confidence value greater than or equal to 50 percent.
String name
The label name for the type of content detected in the image.
String parentName
The name for the parent label. Labels at the top-level of the hierarchy have the parent label "".
Long index
Identifier for the person detected person within a video. Use to keep track of the person throughout the video. The identifier is not stored by Amazon Rekognition.
BoundingBox boundingBox
Bounding box around the detected person.
FaceDetail face
Face details for the detected person.
Long timestamp
The time, in milliseconds from the start of the video, that the person was tracked.
PersonDetail person
Details about a person tracked in a video.
Long timestamp
The time, in milliseconds from the beginning of the video, that the person was matched in the video.
PersonDetail person
Information about the matched person.
List<E> faceMatches
Information about the faces in the input collection that match the face of a person in the video.
Image image
The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported.
List<E> celebrityFaces
Details about each celebrity found in the image. Amazon Rekognition can detect a maximum of 15 celebrities in an image.
List<E> unrecognizedFaces
Details about each unrecognized face in the image.
String orientationCorrection
The orientation of the input image (counterclockwise direction). If your application displays the image, you can
use this value to correct the orientation. The bounding box coordinates returned in CelebrityFaces
and UnrecognizedFaces represent face locations before the image orientation is corrected.
If the input image is in .jpeg format, it might contain exchangeable image (Exif) metadata that includes the
image's orientation. If so, and the Exif metadata for the input image populates the orientation field, the value
of OrientationCorrection is null and the CelebrityFaces and
UnrecognizedFaces bounding box coordinates represent face locations after Exif metadata is used to
correct the image orientation. Images in .png format don't contain Exif metadata.
String collectionId
ID of the collection to search.
Image image
The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported.
Integer maxFaces
Maximum number of faces to return. The operation returns the maximum number of faces with the highest confidence in the match.
Float faceMatchThreshold
(Optional) Specifies the minimum confidence in the face match to return. For example, don't return any matches where confidence in matches is less than 70%.
BoundingBox searchedFaceBoundingBox
The bounding box around the face in the input image that Amazon Rekognition used for the search.
Float searchedFaceConfidence
The level of confidence that the searchedFaceBoundingBox, contains a face.
List<E> faceMatches
An array of faces that match the input face, along with the confidence in the match.
String faceModelVersion
Version number of the face detection model associated with the input collection (CollectionId).
String collectionId
ID of the collection the face belongs to.
String faceId
ID of a face to find matches for in the collection.
Integer maxFaces
Maximum number of faces to return. The operation returns the maximum number of faces with the highest confidence in the match.
Float faceMatchThreshold
Optional value specifying the minimum confidence in the face match to return. For example, don't return any matches where confidence in matches is less than 70%.
String searchedFaceId
ID of the face that was searched for matches in a collection.
List<E> faceMatches
An array of faces that matched the input face, along with the confidence in the match.
String faceModelVersion
Version number of the face detection model associated with the input collection (CollectionId).
Video video
The video in which you want to recognize celebrities. The video must be stored in an Amazon S3 bucket.
String clientRequestToken
Idempotent token used to identify the start request. If you use the same token with multiple
StartCelebrityRecognition requests, the same JobId is returned. Use
ClientRequestToken to prevent the same job from being accidently started more than once.
NotificationChannel notificationChannel
The Amazon SNS topic ARN that you want Rekognition Video to publish the completion status of the celebrity recognition analysis to.
String jobTag
Unique identifier you specify to identify the job in the completion status published to the Amazon Simple Notification Service topic.
String jobId
The identifier for the celebrity recognition analysis job. Use JobId to identify the job in a
subsequent call to GetCelebrityRecognition.
Video video
The video in which you want to moderate content. The video must be stored in an Amazon S3 bucket.
Float minConfidence
Specifies the minimum confidence that Amazon Rekognition must have in order to return a moderated content label. Confidence represents how certain Amazon Rekognition is that the moderated content is correctly identified. 0 is the lowest confidence. 100 is the highest confidence. Amazon Rekognition doesn't return any moderated content labels with a confidence level lower than this specified value.
String clientRequestToken
Idempotent token used to identify the start request. If you use the same token with multiple
StartContentModeration requests, the same JobId is returned. Use
ClientRequestToken to prevent the same job from being accidently started more than once.
NotificationChannel notificationChannel
The Amazon SNS topic ARN that you want Rekognition Video to publish the completion status of the content moderation analysis to.
String jobTag
Unique identifier you specify to identify the job in the completion status published to the Amazon Simple Notification Service topic.
String jobId
The identifier for the content moderation analysis job. Use JobId to identify the job in a
subsequent call to GetContentModeration.
Video video
The video in which you want to detect faces. The video must be stored in an Amazon S3 bucket.
String clientRequestToken
Idempotent token used to identify the start request. If you use the same token with multiple
StartFaceDetection requests, the same JobId is returned. Use
ClientRequestToken to prevent the same job from being accidently started more than once.
NotificationChannel notificationChannel
The ARN of the Amazon SNS topic to which you want Rekognition Video to publish the completion status of the face detection operation.
String faceAttributes
The face attributes you want returned.
DEFAULT - The following subset of facial attributes are returned: BoundingBox, Confidence, Pose,
Quality and Landmarks.
ALL - All facial attributes are returned.
String jobTag
Unique identifier you specify to identify the job in the completion status published to the Amazon Simple Notification Service topic.
String jobId
The identifier for the face detection job. Use JobId to identify the job in a subsequent call to
GetFaceDetection.
Video video
The video you want to search. The video must be stored in an Amazon S3 bucket.
String clientRequestToken
Idempotent token used to identify the start request. If you use the same token with multiple
StartFaceSearch requests, the same JobId is returned. Use
ClientRequestToken to prevent the same job from being accidently started more than once.
Float faceMatchThreshold
The minimum confidence in the person match to return. For example, don't return any matches where confidence in matches is less than 70%.
String collectionId
ID of the collection that contains the faces you want to search for.
NotificationChannel notificationChannel
The ARN of the Amazon SNS topic to which you want Rekognition Video to publish the completion status of the search.
String jobTag
Unique identifier you specify to identify the job in the completion status published to the Amazon Simple Notification Service topic.
String jobId
The identifier for the search job. Use JobId to identify the job in a subsequent call to
GetFaceSearch.
Video video
The video in which you want to detect labels. The video must be stored in an Amazon S3 bucket.
String clientRequestToken
Idempotent token used to identify the start request. If you use the same token with multiple
StartLabelDetection requests, the same JobId is returned. Use
ClientRequestToken to prevent the same job from being accidently started more than once.
Float minConfidence
Specifies the minimum confidence that Rekognition Video must have in order to return a detected label. Confidence represents how certain Amazon Rekognition is that a label is correctly identified.0 is the lowest confidence. 100 is the highest confidence. Rekognition Video doesn't return any labels with a confidence level lower than this specified value.
If you don't specify MinConfidence, the operation returns labels with confidence values greater than
or equal to 50 percent.
NotificationChannel notificationChannel
The Amazon SNS topic ARN you want Rekognition Video to publish the completion status of the label detection operation to.
String jobTag
Unique identifier you specify to identify the job in the completion status published to the Amazon Simple Notification Service topic.
String jobId
The identifier for the label detection job. Use JobId to identify the job in a subsequent call to
GetLabelDetection.
Video video
The video in which you want to detect people. The video must be stored in an Amazon S3 bucket.
String clientRequestToken
Idempotent token used to identify the start request. If you use the same token with multiple
StartPersonTracking requests, the same JobId is returned. Use
ClientRequestToken to prevent the same job from being accidently started more than once.
NotificationChannel notificationChannel
The Amazon SNS topic ARN you want Rekognition Video to publish the completion status of the people detection operation to.
String jobTag
Unique identifier you specify to identify the job in the completion status published to the Amazon Simple Notification Service topic.
String jobId
The identifier for the person detection job. Use JobId to identify the job in a subsequent call to
GetPersonTracking.
String name
The name of the stream processor to start processing.
String name
The name of a stream processor created by .
KinesisVideoStream kinesisVideoStream
The Kinesis video stream input stream for the source streaming video.
KinesisDataStream kinesisDataStream
The Amazon Kinesis Data Streams stream to which the Amazon Rekognition stream processor streams the analysis results.
FaceSearchSettings faceSearch
Face search settings to use on a streaming video.
String detectedText
The word or line of text recognized by Amazon Rekognition.
String type
The type of text that was detected.
Integer id
The identifier for the detected text. The identifier is only unique for a single call to DetectText.
Integer parentId
The Parent identifier for the detected text identified by the value of ID. If the type of detected
text is LINE, the value of ParentId is Null.
Float confidence
The confidence that Amazon Rekognition has in the accuracy of the detected text and the accuracy of the geometry points around the detected text.
Geometry geometry
The location of the detected text on the image. Includes an axis aligned coarse bounding box surrounding the text and a finer grain polygon for more accurate spatial information.
S3Object s3Object
The Amazon S3 bucket name and file name for the video.
String codec
Type of compression used in the analyzed video.
Long durationMillis
Length of the video in milliseconds.
String format
Format of the analyzed video. Possible values are MP4, MOV and AVI.
Float frameRate
Number of frames per second in the video.
Long frameHeight
Vertical pixel dimension of the video.
Long frameWidth
Horizontal pixel dimension of the video.
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