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Efficient ways to manage digital video data have assumed enormous importance lately. An integral aspect is the ability to browse, index nd search huge volumes of video data automatically and efficiently. This paper presents a novel scheme for matching video sequences base on low-level features. The scheme supports fast and efficient matching and can search 450,000 frames of video data within 72 seconds on a 400 MHz. Pentium II, for a 50 frame query. Video sequences are processed in the compressed domain to extract the histograms of the images in the DCT sequence is implemented for matching video clips. The binds of the histograms of successive for comparison. This leads to efficient storage and transmission. The histogram representation can be compacted to 4.26 real numbers per frame, while achieving high matching accuracy. Multiple temporal resolution sampling of the videos to be matched is also supported and any key-frame-based matching scheme thus becomes a particular implementation of this scheme.
Naphade et al. (Thu,) studied this question.