Color Clustering

Color Clustering determines the dominant colors in a frame by clustering similar colors. The task returns the color at the center of each cluster, and the proportion of the pixels in the frame that belong to each cluster.

This section describes the parameters that you can use to configure color clustering.

Configuration Parameter Description
ColorSpace The color space in which the results of analysis are provided.
ColorThreshold Discards colors that do not make up a significant proportion of the frame.
FrameRate (Deprecated) The number of frames to analyze per second of video.
Input The image track to process.
Region Specifies a region of the frame to process, instead of the entire frame.
RegionUnit Specifies the units used by the Region parameter.
RestrictToInputRegion Specifies whether to analyze a region of the input image or video frame that is specified in the input record, instead of the entire image.
SampleInterval The interval at which frames are selected to be analyzed, in milliseconds.
Type The analysis engine to use. Set this parameter to ColorCluster.

Output Tracks

Output track Type Description Output1This column indicates whether the information contained in the track is included by default in the output created by an output task (when you don't set the Input parameter for the output task).
Result ColorClusterResult Contains a record for each analyzed frame. Each record contains information about the colors that are present in the image. True

ColorClusterResult

Field name Type Description
id UUIDData A universally unique identifier to identify the analyzed image or video frame.
colorspace String The color space in which the results are presented.
cluster An array of ColorClusters Information about the colors in the analyzed frame.

ColorCluster

Field name Type Description
Color String The color at the center of a cluster.
Proportion Float The proportion of pixels in the frame that belong to the cluster.

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