[ aws . rekognition ]
Gets the segment detection results of a Amazon Rekognition Video analysis started by StartSegmentDetection .
Segment detection with Amazon Rekognition Video is an asynchronous operation. You start segment detection by calling StartSegmentDetection which returns a job identifier (JobId
). When the segment detection operation finishes, Amazon Rekognition publishes a completion status to the Amazon Simple Notification Service topic registered in the initial call to StartSegmentDetection
. To get the results of the segment detection operation, first check that the status value published to the Amazon SNS topic is SUCCEEDED
. if so, call GetSegmentDetection
and pass the job identifier (JobId
) from the initial call of StartSegmentDetection
.
GetSegmentDetection
returns detected segments in an array (Segments
) of SegmentDetection objects.Segments
is sorted by the segment types specified in theSegmentTypes
input parameter ofStartSegmentDetection
. Each element of the array includes the detected segment, the precentage confidence in the acuracy of the detected segment, the type of the segment, and the frame in which the segment was detected.
Use SelectedSegmentTypes
to find out the type of segment detection requested in the call to StartSegmentDetection
.
Use the MaxResults
parameter to limit the number of segment detections returned. If there are more results than specified in MaxResults
, the value of NextToken
in the operation response contains a pagination token for getting the next set of results. To get the next page of results, call GetSegmentDetection
and populate the NextToken
request parameter with the token value returned from the previous call to GetSegmentDetection
.
For more information, see Detecting Video Segments in Stored Video in the Amazon Rekognition Developer Guide.
See also: AWS API Documentation
See ‘aws help’ for descriptions of global parameters.
get-segment-detection
--job-id <value>
[--max-results <value>]
[--next-token <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
--job-id
(string)
Job identifier for the text detection operation for which you want results returned. You get the job identifer from an initial call to
StartSegmentDetection
.
--max-results
(integer)
Maximum number of results to return per paginated call. The largest value you can specify is 1000.
--next-token
(string)
If the response is truncated, Amazon Rekognition Video returns this token that you can use in the subsequent request to retrieve the next set of text.
--cli-input-json
| --cli-input-yaml
(string)
Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton
. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml
.
--generate-cli-skeleton
(string)
Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input
, prints a sample input JSON that can be used as an argument for --cli-input-json
. Similarly, if provided yaml-input
it will print a sample input YAML that can be used with --cli-input-yaml
. If provided with the value output
, it validates the command inputs and returns a sample output JSON for that command.
See ‘aws help’ for descriptions of global parameters.
JobStatus -> (string)
Current status of the segment detection job.
StatusMessage -> (string)
If the job fails,
StatusMessage
provides a descriptive error message.
VideoMetadata -> (list)
Currently, Amazon Rekognition Video returns a single object in the
VideoMetadata
array. The object contains information about the video stream in the input file that Amazon Rekognition Video chose to analyze. TheVideoMetadata
object includes the video codec, video format and other information. Video metadata is returned in each page of information returned byGetSegmentDetection
.(structure)
Information about a video that Amazon Rekognition analyzed.
Videometadata
is returned in every page of paginated responses from a Amazon Rekognition video operation.Codec -> (string)
Type of compression used in the analyzed video.
DurationMillis -> (long)
Length of the video in milliseconds.
Format -> (string)
Format of the analyzed video. Possible values are MP4, MOV and AVI.
FrameRate -> (float)
Number of frames per second in the video.
FrameHeight -> (long)
Vertical pixel dimension of the video.
FrameWidth -> (long)
Horizontal pixel dimension of the video.
AudioMetadata -> (list)
An array of objects. There can be multiple audio streams. Each
AudioMetadata
object contains metadata for a single audio stream. Audio information in anAudioMetadata
objects includes the audio codec, the number of audio channels, the duration of the audio stream, and the sample rate. Audio metadata is returned in each page of information returned byGetSegmentDetection
.(structure)
Metadata information about an audio stream. An array of
AudioMetadata
objects for the audio streams found in a stored video is returned by GetSegmentDetection .Codec -> (string)
The audio codec used to encode or decode the audio stream.
DurationMillis -> (long)
The duration of the audio stream in milliseconds.
SampleRate -> (long)
The sample rate for the audio stream.
NumberOfChannels -> (long)
The number of audio channels in the segment.
NextToken -> (string)
If the previous response was incomplete (because there are more labels to retrieve), Amazon Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of text.
Segments -> (list)
An array of segments detected in a video. The array is sorted by the segment types (TECHNICAL_CUE or SHOT) specified in the
SegmentTypes
input parameter ofStartSegmentDetection
. Within each segment type the array is sorted by timestamp values.(structure)
A technical cue or shot detection segment detected in a video. An array of
SegmentDetection
objects containing all segments detected in a stored video is returned by GetSegmentDetection .Type -> (string)
The type of the segment. Valid values are
TECHNICAL_CUE
andSHOT
.StartTimestampMillis -> (long)
The start time of the detected segment in milliseconds from the start of the video. This value is rounded down. For example, if the actual timestamp is 100.6667 milliseconds, Amazon Rekognition Video returns a value of 100 millis.
EndTimestampMillis -> (long)
The end time of the detected segment, in milliseconds, from the start of the video. This value is rounded down.
DurationMillis -> (long)
The duration of the detected segment in milliseconds.
StartTimecodeSMPTE -> (string)
The frame-accurate SMPTE timecode, from the start of a video, for the start of a detected segment.
StartTimecode
is in HH:MM:SS:fr format (and ;fr for drop frame-rates).EndTimecodeSMPTE -> (string)
The frame-accurate SMPTE timecode, from the start of a video, for the end of a detected segment.
EndTimecode
is in HH:MM:SS:fr format (and ;fr for drop frame-rates).DurationSMPTE -> (string)
The duration of the timecode for the detected segment in SMPTE format.
TechnicalCueSegment -> (structure)
If the segment is a technical cue, contains information about the technical cue.
Type -> (string)
The type of the technical cue.
Confidence -> (float)
The confidence that Amazon Rekognition Video has in the accuracy of the detected segment.
ShotSegment -> (structure)
If the segment is a shot detection, contains information about the shot detection.
Index -> (long)
An Identifier for a shot detection segment detected in a video.
Confidence -> (float)
The confidence that Amazon Rekognition Video has in the accuracy of the detected segment.
SelectedSegmentTypes -> (list)
An array containing the segment types requested in the call to
StartSegmentDetection
.(structure)
Information about the type of a segment requested in a call to StartSegmentDetection . An array of
SegmentTypeInfo
objects is returned by the response from GetSegmentDetection .Type -> (string)
The type of a segment (technical cue or shot detection).
ModelVersion -> (string)
The version of the model used to detect segments.