VideoCube: A Novel Tool for Video Mining and Classification
ICADL '02 Proceedings of the 5th International Conference on Asian Digital Libraries: Digital Libraries: People, Knowledge, and Technology
Retrieval of movie scenes by semantic matrix and automatic feature weight update
Expert Systems with Applications: An International Journal
Multi-layer objectionable video classification system using local-global information
ICCOMP'05 Proceedings of the 9th WSEAS International Conference on Computers
TV Genre Classification Using Multimodal Information and Multilayer Perceptrons
AI*IA '07 Proceedings of the 10th Congress of the Italian Association for Artificial Intelligence on AI*IA 2007: Artificial Intelligence and Human-Oriented Computing
Parallel neural networks for multimodal video genre classification
Multimedia Tools and Applications
A novel block intensity comparison code for video classification and retrieval
Expert Systems with Applications: An International Journal
Separation of Professional and Amateur Video in Large Video Collections
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Statistical motion information extraction and representation for semantic video analysis
IEEE Transactions on Circuits and Systems for Video Technology
Similarity measurement for animation movies
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
Content-based intelligent video recorder with its implementation on sports video
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
Modeling television schedules for television stream structuring
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
A contour-color-action approach to automatic classification of several common video genres
AMR'10 Proceedings of the 8th international conference on Adaptive Multimedia Retrieval: context, exploration, and fusion
Content-based video description for automatic video genre categorization
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
Sports knowledge management and data mining
Annual Review of Information Science and Technology
Video content categorization using the double decomposition
Multimedia Tools and Applications
| Hi-index | 0.00 |
The problem addressed here is the classification of videos at the highest level into pre-defined genre. The approach adopted is based on the dynamic content of short sequences (/spl sim/30 secs). This paper presents two methods of extracting motion from a video sequence: foreground object motion and background camera motion. These dynamics are extracted, processed and applied to classify 3 broad classes: sports, cartoons and news. Experimental results for this 3 class problem give error rates of 17%, 8% and 6% for camera motion, object motion and both combined respectively, on /spl sim/30 second sequences.