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Shot genre classification using compressed audio-visual features
KDDI R and D Laboratories Inc..
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
KDDI R and D Laboratories Inc..
KDDI R and D Laboratories Inc..
2003 (English)In: Proceedings / 2003 International Conference on Image Processing : September 14 - 17, 2003, Barcelona, Spain, IEEE Communications Society, 2003, 17-20 p.Conference paper (Refereed)
Abstract [en]

This paper proposes shot genre classification from MPEG compressed movies, as one of the high-level indexing methods for audio-visual contents. Through statistical analysis of low-level and mid-level audio-visual features on compressed domain, the proposed method can achieve subjectively accurate shot classification within the movies into predefined genre set, which can be applied to various content handling applications, such as summarization, navigation, editing, filtering, and so on. By feeding subjectively evaluated feature set for each shot genre into the Linear Machine Decision Tree classifier, each shot is classified at very low cost. The experimental results show that most of the shots in the movies can be classified into subjectively accurate genres, and also the dominant shot genre can correctly resolve each movie genre.

Place, publisher, year, edition, pages
IEEE Communications Society, 2003. 17-20 p.
Research subject
Quality Technology and Management
Identifiers
URN: urn:nbn:se:ltu:diva-38730Local ID: d35a7300-e32c-11de-bae5-000ea68e967bOAI: oai:DiVA.org:ltu-38730DiVA: diva2:1012231
Conference
IEEE International Conference on Image Processing : 14/09/2003 - 17/09/2003
Note
Godkänd; 2003; 20091207 (andbra)Available from: 2016-10-03 Created: 2016-10-03Bibliographically approved

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