VisualGREP: a systematic method to compare and retrieve video sequences

Rainer W. Lienhart; Wolfgang Effelsberg; Ramesh C. Jain

doi:10.1117/12.298460

23 December 1997 VisualGREP: a systematic method to compare and retrieve video sequences

Rainer W. Lienhart, Wolfgang Effelsberg, Ramesh C. Jain

Proceedings Volume 3312, Storage and Retrieval for Image and Video Databases VI; (1997) https://doi.org/10.1117/12.298460
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States

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.

Citation Download Citation

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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