A novel video mining system

A Anjulan, CN Canagarajah

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

5 Citations (Scopus)
274 Downloads (Pure)


This paper describes a novel object mining system for videos. An algorithm published in a previous paper by the authors is used to segment the video into shots and extract stable tracks from them. A grouping technique is introduced to combine these stable tracks into meaningful object clusters. These clusters are used in mining similar objects. Compared to other object mining systems, our approach mines more instances of similar objects in different shots. The proposed framework is applied to a full length feature film and improved results are shown.
Translated title of the contributionA novel video mining system
Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing, 2007 (ICIP 2007), San Antonio
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
PagesI-185 - I-188
Number of pages4
ISBN (Print)9781424414376
Publication statusPublished - Sep 2007
EventInternational Conference on Image Processing - San Antonio, TX, United States
Duration: 1 Sep 2007 → …


ConferenceInternational Conference on Image Processing
Country/TerritoryUnited States
CitySan Antonio, TX
Period1/09/07 → …

Bibliographical note

Rose publication type: Conference contribution

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  • object mining
  • feature extraction
  • object clustering

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