Content-Based Classification, Search, and Retrieval of Audio
IEEE MultiMedia
Towards semantically meaningful feature spaces for the characterization of video content
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Person-on-Person Violence Detection in Video Data
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Text categorization by boosting automatically extracted concepts
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Semantic context detection based on hierarchical audio models
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Applying co-training methods to statistical parsing
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Weakly supervised natural language learning without redundant views
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
A flexible framework for key audio effects detection and auditory context inference
IEEE Transactions on Audio, Speech, and Language Processing
Learning relations among movie characters: a social network perspective
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Violence detection in video using computer vision techniques
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
A naive mid-level concept-based fusion approach to violence detection in Hollywood movies
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
Violence detection in hollywood movies by the fusion of visual and mid-level audio cues
Proceedings of the 21st ACM international conference on Multimedia
Violent scene detection using mid-level feature
Proceedings of the Fourth Symposium on Information and Communication Technology
| Hi-index | 0.00 |
In this work, we present a novel method to detect violent shots in movies. The detection process is split into two views--the audio and video views. From the audio-view, a weakly-supervised method is exploited to improve the classification performance. And from the video-view, we use a classifier to detect violent shots. Finally, the auditory and visual classifiers are combined in a co-training way. The experimental results on several movies with violent contents preliminarily show the effectiveness of our method.