Statistical modeling and analysis of content identification

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A number of hash-based algorithms for audio and video identification (ID) have been studied in recent literature, and some have been deployed as mobile phone applications and on file sharing sites. A fundamental question is what is the relationship between database size, hash length, and robustness, that any reliable content ID system should satisfy. This paper presents some answers under a simple statistical model for the signals of interest.

Original languageEnglish (US)
Title of host publication2010 Information Theory and Applications Workshop, ITA 2010 - Conference Proceedings
Pages329-333
Number of pages5
DOIs
StatePublished - 2010
Event2010 Information Theory and Applications Workshop, ITA 2010 - San Diego, CA, United States
Duration: Jan 31 2010Feb 5 2010

Publication series

Name2010 Information Theory and Applications Workshop, ITA 2010 - Conference Proceedings

Other

Other2010 Information Theory and Applications Workshop, ITA 2010
Country/TerritoryUnited States
CitySan Diego, CA
Period1/31/102/5/10

Keywords

  • Audio
  • Capacity
  • Content identification
  • Decoding
  • Error exponents
  • Fingerprinting
  • Hashing
  • Strong converse
  • Video

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

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