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Proceedings Paper

Semiautomatic video database system
Author(s): Sadashiva Devadiga; D. A. Koshiba; Ullas Gargi; S. Oswald; Rangachar Kasturi
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Paper Abstract

We present a prototype video database system designed to accept video sequences as well as still images. The system indexes these sequences based on scene changes, creates a primitive structure of these sequences, and searches this structure for queried objects using specific color features. A video sequence input to the database is first indexed into subsequences using a color histogram difference method. A hierarchical structure is created by thresholding the sequences at various levels of inter-frame difference. For every subsequence that is identified, the first frame in that subsequence, the representative frame, is entered into the database. The system then automatically generates a description for the frame in terms of its color histogram features. Subsequently, the video sequence may be searched for objects (specified as regions of other video sequence frames or still images) using color similarity matching.

Paper Details

Date Published: 23 March 1995
PDF: 6 pages
Proc. SPIE 2420, Storage and Retrieval for Image and Video Databases III, (23 March 1995); doi: 10.1117/12.205293
Show Author Affiliations
Sadashiva Devadiga, The Pennsylvania State Univ. (United States)
D. A. Koshiba, The Pennsylvania State Univ. (United States)
Ullas Gargi, The Pennsylvania State Univ. (United States)
S. Oswald, The Pennsylvania State Univ. (United States)
Rangachar Kasturi, The Pennsylvania State Univ. (United States)


Published in SPIE Proceedings Vol. 2420:
Storage and Retrieval for Image and Video Databases III
Wayne Niblack; Ramesh C. Jain, Editor(s)

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