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Proceedings Paper

VisualGREP: a systematic method to compare and retrieve video sequences
Author(s): Rainer W. Lienhart; Wolfgang Effelsberg; Ramesh C. Jain
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Paper Abstract

In this paper, we consider the problem of similarity between video sequences. Three basic questions are raised and (partially) answered. Firstly, at what temporal duration can video sequences be compared? The frame, shot, scene and video levels are identified. Secondly, given some image or video feature, what are the requirements on its distance measure and how can it be 'easily' transformed into the visual similarity desired by the inquirer? Thirdly, how can video sequences be compared at different levels? A general approach based on either a set or sequence representation with variable degrees of aggregation is proposed and applied recursively over the different levels of temporal resolution. It allows the inquirer to fully control the importance of temporal ordering and duration. Promising experimental results are presented.

Paper Details

Date Published: 23 December 1997
PDF: 12 pages
Proc. SPIE 3312, Storage and Retrieval for Image and Video Databases VI, (23 December 1997); doi: 10.1117/12.298460
Show Author Affiliations
Rainer W. Lienhart, Univ. Mannheim (FRG) and Univ. of California/San Diego (United States)
Wolfgang Effelsberg, Univ. Mannheim (FRG) and International Computer Science Institute (Germany)
Ramesh C. Jain, Univ. of California/San Diego (United States)

Published in SPIE Proceedings Vol. 3312:
Storage and Retrieval for Image and Video Databases VI
Ishwar K. Sethi; Ramesh C. Jain, Editor(s)

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