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Video retrieval based on scene change detection in compressed streams

Authors
Kang, Eung KwanKim, Sung JooChoi, Jong Soo
Issue Date
Jun-1999
Publisher
IEEE, Piscataway, NJ, United States
Citation
Digest of Technical Papers - IEEE International Conference on Consumer Electronics, pp 224 - 225
Pages
2
Journal Title
Digest of Technical Papers - IEEE International Conference on Consumer Electronics
Start Page
224
End Page
225
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/66241
ISSN
0747-668X
Abstract
This paper presents a new key frame extraction algorithm as well as a novel video-indexing scheme for fast content-based browsing and retrieval in video databases. We first extract key frames by matching AHIM (Accumulated Histogram Intersection Measure) of 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.
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College of ICT Engineering > School of Electrical and Electronics Engineering > 1. Journal Articles

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