Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Video Google: A Text Retrieval Approach to Object Matching in Videos
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Towards auto-documentary: tracking the evolution of news stories
Proceedings of the 12th annual ACM international conference on Multimedia
Finding and identifying unknown commercials using repeated video sequence detection
Computer Vision and Image Understanding
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
A fast shot matching strategy for detecting duplicate sequences in a television stream
Proceedings of the 2nd international workshop on Computer vision meets databases
Robust voting algorithm based on labels of behavior for video copy detection
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Sampling strategies for bag-of-features image classification
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Spatiotemporal sequence matching for efficient video copy detection
IEEE Transactions on Circuits and Systems for Video Technology
Video identification using video tomography
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Real-time keyframe extraction towards video content identification
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
MMSys '10 Proceedings of the first annual ACM SIGMM conference on Multimedia systems
Video copy detection using multiple visual cues and MPEG-7 descriptors
Journal of Visual Communication and Image Representation
| Hi-index | 0.00 |
In this paper, we propose a new method to search different instances of a video sequence inside a long video and/or video collection. The proposed method is robust to view point and illumination changes which may occur since the sequences are captured in different times with different cameras, and to the differences in the order and the number of frames in the sequences which may occur due to editing. The algorithm does not require any query to be given for searching, and finds all repeating video sequences inside a long video in a fully automatic way. First, the frames in a video are ranked according to their similarity on the distribution of salient points and colour values. Then, a tree based approach is used to seek for the repetitions of a video sequence if there is any. Results are provided on a full length feature movie, Run Lola Run and on commercials of TRECVID 2004 news video corpus.