InsightVideo: toward hierarchical video content organization for efficient browsing, summarization and retrieval

Hierarchical video browsing and feature-based video retrieval are two standard methods for accessing video content. Very little research, however, has addressed the benefits of integrating these two methods for more effective and efficient video content access. In this paper, we introduce InsightVid...

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Veröffentlicht in:IEEE transactions on multimedia 2005-08, Vol.7 (4), p.648-666
Hauptverfasser: Xingquan Zhu, Elmagarmid, A.K., Xiangyang Xue, Lide Wu, Catlin, A.C.
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container_issue 4
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container_title IEEE transactions on multimedia
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creator Xingquan Zhu
Elmagarmid, A.K.
Xiangyang Xue
Lide Wu
Catlin, A.C.
description Hierarchical video browsing and feature-based video retrieval are two standard methods for accessing video content. Very little research, however, has addressed the benefits of integrating these two methods for more effective and efficient video content access. In this paper, we introduce InsightVideo, a video analysis and retrieval system, which joins video content hierarchy, hierarchical browsing and retrieval for efficient video access. We propose several video processing techniques to organize the content hierarchy of the video. We first apply a camera motion classification and key-frame extraction strategy that operates in the compressed domain to extract video features. Then, shot grouping, scene detection and pairwise scene clustering strategies are applied to construct the video content hierarchy. We introduce a video similarity evaluation scheme at different levels (key-frame, shot, group, scene, and video.) By integrating the video content hierarchy and the video similarity evaluation scheme, hierarchical video browsing and retrieval are seamlessly integrated for efficient content access. We construct a progressive video retrieval scheme to refine user queries through the interactions of browsing and retrieval. Experimental results and comparisons of camera motion classification, key-frame extraction, scene detection, and video retrieval are presented to validate the effectiveness and efficiency of the proposed algorithms and the performance of the system.
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source IEEE Electronic Library (IEL)
subjects Applied sciences
Artificial intelligence
Browsing
Cameras
Classification
Computer networks
Computer science
Computer science
control theory
systems
Content based retrieval
Electronics
Exact sciences and technology
Feature extraction
Gunshot detection systems
Hierarchies
Layout
Motion detection
Pattern recognition. Digital image processing. Computational geometry
Recording and replay of audio and video signals
Retrieval
Shot
Similarity
Standards organizations
Storage and reproduction of information
Strategy
Studies
Video browsing
Video compression
video content organization
video retrieval
video similarity assessment
title InsightVideo: toward hierarchical video content organization for efficient browsing, summarization and retrieval
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