A novel video mining system

作者:Anjulan Arasanathan*; Canagarajah Nishan
来源:IEEE International Conference on Image Processing (ICIP 2007), 2007-09-16 to 2007-09-19.

摘要

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.

  • 出版日期2007