Video retrieval based on tracked features quantization

Hiroaki Kubo, Julien Pilet, Hideo Saito, Shin'ichi Satoh

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

Abstract

In this paper, we present an image retrieval method based on feature tracking. Feature tracks are summarized into a compact discreet value and used for video indexing purpose. As opposed to existing space-time features, we do not make any assumption on the motion visible on the indexed videos. As a result, given an example query, our system is able to retrieve related videos from a large database. We evaluated our system with the copy detection benchmark MUSCLE-VCD-2007. We also ran retrieval experiment on hours of TV broadcast.

Original languageEnglish
Title of host publicationProceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010
Pages3248-3251
Number of pages4
DOIs
Publication statusPublished - 2010 Nov 18
Event2010 20th International Conference on Pattern Recognition, ICPR 2010 - Istanbul, Turkey
Duration: 2010 Aug 232010 Aug 26

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651

Other

Other2010 20th International Conference on Pattern Recognition, ICPR 2010
CountryTurkey
CityIstanbul
Period10/8/2310/8/26

Keywords

  • Content based retrieval
  • Descriptor
  • Quantization
  • Video retrieval

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • Cite this

    Kubo, H., Pilet, J., Saito, H., & Satoh, S. (2010). Video retrieval based on tracked features quantization. In Proceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010 (pp. 3248-3251). [5597166] (Proceedings - International Conference on Pattern Recognition). https://doi.org/10.1109/ICPR.2010.794