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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.
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).
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
v1.2
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Total Score: 107
Country: India
Subject: Global Journal of Research in Engineering
Authors: Ms. Ritesh Kumari, Dr. D C Dhubkaria (PhD/Dr. count: 1)
View Count (all-time): 157
Total Views (Real + Logic): 5590
Total Downloads (simulated): 351
Publish Date: 2010 03, Mon
Monthly Totals (Real + Logic):
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