VIDEO DATA MINING: ADVANCES IN MEDIA AND ENTERTAINMENT WORLD FOR EFFICIENT INDEXING AND RETRIEVAL

§ Bundelkhand Institute of Technology, Jhansi

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VIDEO DATA MINING: ADVANCES IN MEDIA AND ENTERTAINMENT WORLD FOR EFFICIENT INDEXING AND RETRIEVAL

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Abstract

To achieve more efficient video indexing, its semantic content and access, I introduce avideo database management framework and strategies for video content structure and eventsmining. The video shot segmentation and key-frame selection strategy are first utilized to parsethe continuous video stream into physical units. Video shot grouping, group merging, and sceneclustering schemes are then proposed to organize the video shots into a hierarchical structureusing clustered scenes, scenes, groups, and shots, in increasing granularity from top to bottom.Then, audio and video processing techniques are integrated to mine event information, such asdialog, live performance and summary, from the detected scenes. Finally, the acquired videocontent structure and events are integrated to construct a scalable video skimming tool which canbe used to visualize the video content hierarchy and event information for efficient access.Experimental results are also presented to evaluate the performance of the proposed frameworkand algorithms.

References

7 Cites in Article
  1. Xingquan Zhu,Xindong Wu,Ahmed Emagarmid (2005). Semantic Indexing and Event Detection From the Associative Perspective.
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  4. H Jiang,A Elmagarmid (1998). WVTDB A Semantic Content-Based Video Database System on the World Wide Web.
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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Ms. Ritesh Kumari. 1970. "VIDEO DATA MINING: ADVANCES IN MEDIA AND ENTERTAINMENT WORLD FOR EFFICIENT INDEXING AND RETRIEVAL". Global Journal of Research in Engineering GJRE Volume 10 (GJRE Volume 10 Issue 6).

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords
Version of record

v1.2

Issue date
November 10, 2010

Language
English
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VIDEO DATA MINING: ADVANCES IN MEDIA AND ENTERTAINMENT WORLD FOR EFFICIENT INDEXING AND RETRIEVAL

Ms. Kumari
Ms. Kumari Bundelkhand Institute of Technology, Jhansi