Automatic partitioning of full-motion video
Multimedia Systems
MULTIMEDIA '94 Proceedings of the second ACM international conference on Multimedia
Data mining and knowledge discovery in databases
Communications of the ACM
Communications of the ACM
The World-Wide Web: quagmire or gold mine?
Communications of the ACM
Direct Least Square Fitting of Ellipses
IEEE Transactions on Pattern Analysis and Machine Intelligence
Information Retrieval
An Affine Invariant Interest Point Detector
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Automatic Video Indexing and Full-Video Search for Object Appearances
Proceedings of the IFIP TC2/WG 2.6 Second Working Conference on Visual Database Systems II
Mining Surveillance Video for Independent Motion Detection
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Video Cut Detection using Frequency Domain Correlation
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
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
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Comparison of Affine Region Detectors
International Journal of Computer Vision
Object Level Grouping for Video Shots
International Journal of Computer Vision
Key frame selection by motion analysis
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02
Real time video data mining for surveillance video streams
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
Efficient visual content retrieval and mining in videos
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
Video mining with frequent itemset configurations
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
A multi-layer video browsing system
IEEE Transactions on Consumer Electronics
Object-based visual query suggestion
Multimedia Tools and Applications
| Hi-index | 0.00 |
This paper describes a unified framework for object mining system for videos, which. combines shot segmentation, clustering, retrieval and object miming using a single set of detected local invariant regions. The local invariant regions are tracked throughout a shot and stable tracks are extracted. The conventional key frame method is replaced with these stable tracks of local regions to characterize different shots. A grouping technique is introduced to combine the stable tracks Into meaningful object clusters. These clusters are used to mine 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 full length feature films and the results are compared with state of the art methods.