Content-Based Classification, Search, and Retrieval of Audio
IEEE MultiMedia
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
Semantic context detection based on hierarchical audio models
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Probability Estimates for Multi-class Classification by Pairwise Coupling
The Journal of Machine Learning Research
Semi-Supervised Cross Feature Learning for Semantic Concept Detection in Videos
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Automatically selecting shots for action movie trailers
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Automatic mood detection and tracking of music audio signals
IEEE Transactions on Audio, Speech, and Language Processing
A flexible framework for key audio effects detection and auditory context inference
IEEE Transactions on Audio, Speech, and Language Processing
Toward automatic extraction of expressive elements from motion pictures: tempo
IEEE Transactions on Multimedia
Motion analysis and segmentation through spatio-temporal slices processing
IEEE Transactions on Image Processing
Effectively discriminating fighting shots in action movies
Journal of Computer Science and Technology - Special issue on natural language processing
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
Pattern recognition in multivariate time series: dissertation proposal
Proceedings of the 4th workshop on Workshop for Ph.D. students in information & knowledge management
A benchmarking campaign for the multimodal detection of violent scenes in movies
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
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
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To detect violence in movies, we present a three-stage method integrating visual and auditory cues. In our method, those shots with potential violent content are first identified according to universal film-making rules. A modified semi-supervised learning technique based on semi-supervised cross feature learning (SCFL) is exploited, since it is capable to combine different types of features and use unlabeled data to improve the classification performance. Then, typical violence-related audio effects are further detected for the candidate shots, and we manage to transform the confidences outputted by the classifiers of various audio events into a shot-based violence score. Finally, the first two-stage probabilistic outputs are integrated in a boosting way to generate the final inference. The experimental results on four typical action movies preliminarily show the effectiveness of our method.