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- Title
A bag-of-regions representation for video classification.
- Authors
Choi, Min-Kook; Wang, Ziyu; Lee, Hyun-Gyu; Lee, Sang-Chul
- Abstract
A bag-of-regions (BoR) representation of a video sequence is a spatio-temporal tessellation for use in high-level applications such as video classifications and action recognitions. We obtain a BoR representation of a video sequence by extracting regions that exist in the majority of its frames and largely correspond to a single object. First, the significant regions are obtained using unsupervised frame segmentation based on the JSEG method. A tracking algorithm for splitting and merging the regions is then used to generate a relational graph of all regions in the segmented sequence. Finally, we perform a connectivity analysis on this graph to select the most significant regions, which are then used to create a high-level representation of the video sequence. We evaluated our representation using a SVM classifier for the video classification and achieved about 85 % average precision using the UCF50 dataset.
- Subjects
IMAGE segmentation; TRACKING algorithms; TRACKING shot (Cinematography); IMAGE retrieval; VIDEOS
- Publication
Multimedia Tools & Applications, 2016, Vol 75, Issue 5, p2453
- ISSN
1380-7501
- Publication type
Article
- DOI
10.1007/s11042-015-2876-y