Video on Demand segmentation refers to the segments in which video is demanded. The segments refer to various areas like characters,expressions, appearance, location,etc. The information in the video is captured with the help of METADATA COLLECTION.
Covered: Activities, Emotions, Face, Objects, Shoppable Products, locations, blur detection and brands.
Method Used: Vision Models, OCR.
The detection of the video is done in detail. The tool is used for the detailed study of content present in the video. Whereas BOD segments stand with a very slight difference from the Metadata Detection. The only difference that the BOD segment consists of is that it defines the type of content resented in the video.
Covered: Activities, Emotions, Face, Objects, shoppable products, locations, blur detection, and brands
Method Used: Vision Models, OCR, Audio
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