Data mining for image/video processing: A promising research frontier

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

Abstract

Image and video data contains abundant, rich information for data miners to explore. On one hand, the rich literature on image and video data analysis will naturally provide many advanced methods that may help mining other kinds of data. On the other hand, recent research on data mining will also provide some new, interesting methods that may benefit image and video data retrieval and analysis. In this talk we explore the latter, and discuss whether the new results obtained in data mining research could be useful in image and video data retrieval and analysis. Our discussion will be focused on the following aspects: (1) how frequent pattern, sequential pattern, and structural pattern analysis methods may help image and video data analysis; (2) how data mining may help construction of effective and efficient indexing and similarity search mechanisms for image and video retrieval; (3) how discriminative pattern-based classification methods may shed new light on image and video classification; and (4) how pattern-based analysis methods may help high-dimensional clustering in image and video analysis. Our goal is to promote collaborative research between these two research communities.

Original languageEnglish (US)
Title of host publicationCIVR 2008 - Proceedings of the International Conference on Content-based Image and Video Retrieval
Pages1-2
Number of pages2
DOIs
StatePublished - Dec 17 2008
Event2008 International Conference on Image and Video Retrieval, CIVR 2008 - Niagara Falls, ON, United States
Duration: Jul 7 2008Jul 9 2008

Publication series

NameCIVR 2008 - Proceedings of the International Conference on Content-based Image and Video Retrieval

Other

Other2008 International Conference on Image and Video Retrieval, CIVR 2008
CountryUnited States
CityNiagara Falls, ON
Period7/7/087/9/08

Keywords

  • Data mining
  • Image and video processing
  • Interdisciplinary research

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Software

Fingerprint Dive into the research topics of 'Data mining for image/video processing: A promising research frontier'. Together they form a unique fingerprint.

  • Cite this

    Han, J. (2008). Data mining for image/video processing: A promising research frontier. In CIVR 2008 - Proceedings of the International Conference on Content-based Image and Video Retrieval (pp. 1-2). (CIVR 2008 - Proceedings of the International Conference on Content-based Image and Video Retrieval). https://doi.org/10.1145/1386352.1386353