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Proceedings Paper

Automation of systems enabling search on stored video data
Author(s): Alan Hanjalic; Marco Ceccarelli; Reginald L. Lagendijk; Jan Biemond
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Paper Abstract

In the European project SMASH mass-market storage systems for domestic use are under study. Besides the storage technology that is developed in this project, the related objective of user-friendly browsing/query of video data is studied as well. Key issues in developing a user-friendly system are (1) minimizing the user-intervention in preparatory steps (extraction and storage of representative information needed for browsing/query), (2) providing an acceptable representation of the stored video content in view of a higher automation level, (3) the possibility for performing these steps directly on the incoming stream at storage time, and (4) parameter-robustness of algorithms used for these steps. This paper proposes and validate novel approaches for automation of mentioned preparatory phases. A detection method for abrupt shot changes is proposed, using locally computed threshold based on a statistical model for frame-to-frame differences. For the extraction of representative frames (key frames) an approach is presented which distributes a given number of key frames over the sequence depending on content changes in a temporal segment of the sequence. A multimedia database is introduced, able to automatically store all bibliographic information about a recorded video as well as a visual representation of the content without any manual intervention from the user.

Paper Details

Date Published: 15 January 1997
PDF: 12 pages
Proc. SPIE 3022, Storage and Retrieval for Image and Video Databases V, (15 January 1997); doi: 10.1117/12.263432
Show Author Affiliations
Alan Hanjalic, Delft Univ. of Technology (Netherlands)
Marco Ceccarelli, Philips Research Labs. (Netherlands)
Reginald L. Lagendijk, Delft Univ. of Technology (Netherlands)
Jan Biemond, Delft Univ. of Technology (Netherlands)


Published in SPIE Proceedings Vol. 3022:
Storage and Retrieval for Image and Video Databases V
Ishwar K. Sethi; Ramesh C. Jain, Editor(s)

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