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23 December 1997 VisualGREP: a systematic method to compare and retrieve video sequences
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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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rainer W. Lienhart, Wolfgang Effelsberg, and Ramesh C. Jain "VisualGREP: a systematic method to compare and retrieve video sequences", Proc. SPIE 3312, Storage and Retrieval for Image and Video Databases VI, (23 December 1997); https://doi.org/10.1117/12.298460
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