Group-of-frames/pictures color histogram descriptors for multimedia applications

A. M. Ferman, S. Krishnamachari, A. M. Tekalp, Mohamed Abdel-Mottaleb, R. Mehrotra

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

19 Scopus citations

Abstract

Joint representation of color-based features for multiple images or a video segment is an important task for visual information management systems. Generally, a key-frame or key-image is selected from such a group, and the color-related features of the entire collection are represented with those of the chosen sample. Such methods are highly dependent on the quality of the representative sample, and may lead to unreliable results. We present a set of histogram-based descriptors that reliably capture the color content of multiple images or video frames. These descriptors are defined for a group-of-frames (GoF) or a group-of-pictures (GoP). A single representation for the entire collection is obtained by combining individual frame or image histograms in various ways. We demonstrated the efficacy of GoF-histograms for video segment retrieval and the GoP-histograms for fast image search. This descriptor has been accepted to the Working Draft of MPEG-7, the evolving ISO standard for multimedia content description.

Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing
Pages65-68
Number of pages4
Volume1
StatePublished - Dec 1 2000
Externally publishedYes
EventInternational Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada
Duration: Sep 10 2000Sep 13 2000

Other

OtherInternational Conference on Image Processing (ICIP 2000)
CountryCanada
CityVancouver, BC
Period9/10/009/13/00

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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    Ferman, A. M., Krishnamachari, S., Tekalp, A. M., Abdel-Mottaleb, M., & Mehrotra, R. (2000). Group-of-frames/pictures color histogram descriptors for multimedia applications. In IEEE International Conference on Image Processing (Vol. 1, pp. 65-68)