Video retrieval based on scene change detection in compressed streams

Authors:
Eung Kwan Kang;Sung Joo Kim;Joon Soo Choi
Affiliations:
Dept. of Electron. Eng., Chung-Ang Univ., Seoul;-;-
Venue:
IEEE Transactions on Consumer Electronics
Year:
1999

Citing 0
Cited 5

A Survey of MPEG-1 Audio, Video and Semantic Analysis Techniques

Multimedia Tools and Applications
Video abstraction: A systematic review and classification

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
An adaptive video coding control scheme for real-time MPEG applications

EURASIP Journal on Applied Signal Processing
Semantic video fingerprinting and retrieval using face information

Image Communication
Efficient visual attention based framework for extracting key frames from videos

Image Communication

Quantified Score

Hi-index	0.43

Visualization

Abstract

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