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Video retrieval based on scene change detection in compressed streams

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3 Author(s)
Eung Kwan Kang ; Dept. of Electron. Eng., Chung-Ang Univ., Seoul, South Korea ; Sung Joo Kim ; Joon Soo Choi

This paper presents a new key frame extraction algorithm as well as a novel video-indexing scheme for a fast content-based browsing and retrieval in a video database. We first extract key frames by matching the AHIM (accumulated histogram intersection measure) of the DC image sequence constructed from the MPEG video sequence. Then we use the region segmentation-based projective histogram and its moments as database indices for video retrieval

Published in:

IEEE Transactions on Consumer Electronics  (Volume:45 ,  Issue: 3 )