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Proceedings Paper

Video fingerprinting for live events
Author(s): Mehmet Celik; Jaap Haitsma; Pavlo Barvinko; Gerhard Langelaar; Martijn Maas
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Paper Abstract

Multimedia fingerprinting (robust hashing) as a content identification technology is emerging as an effective tool for preventing unauthorized distribution of commercial content through user generated content (UGC) sites. Research in the field has mainly considered content types with slow distribution cycles, e.g. feature films, for which reference fingerprint ingestion and database indexing can be performed offline. As a result, research focus has been on improving the robustness and search speed. Live events, such as live sports broadcasts, impose new challenges on a fingerprinting system. For instance, highlights from a soccer match are often available-and viewed-on UGC sites well before the end of the match. In this scenario, the fingerprinting system should be able to ingest and index live content online and offer continuous search capability, where new material is identifiable within minutes of broadcast. In this paper, we concentrate on algorithmic and architectural challenges we faced when developing a video fingerprinting solution for live events. In particular, we discuss how to effectively utilize fast sorting algorithms and a master-slave architecture for fast and continuous ingestion of live broadcasts.

Paper Details

Date Published: 4 February 2009
PDF: 9 pages
Proc. SPIE 7254, Media Forensics and Security, 725403 (4 February 2009); doi: 10.1117/12.805551
Show Author Affiliations
Mehmet Celik, Civolution (Netherlands)
Jaap Haitsma, Civolution (Netherlands)
Pavlo Barvinko, Civolution (Netherlands)
Gerhard Langelaar, Civolution (Netherlands)
Martijn Maas, Civolution (Netherlands)

Published in SPIE Proceedings Vol. 7254:
Media Forensics and Security
Edward J. Delp III; Jana Dittmann; Nasir D. Memon; Ping Wah Wong, Editor(s)

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