Video retrieval based on scene change detection in compressed streams
- Authors
- Kang, Eung Kwan; Kim, Sung Joo; Choi, 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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Collections - College of ICT Engineering > School of Electrical and Electronics Engineering > 1. Journal Articles
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