Segmentation of video by clustering and graph analysis
Computer Vision and Image Understanding
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Information Retrieval
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
IEEE Transactions on Knowledge and Data Engineering
Video cut detection using frame windows
ACSC '05 Proceedings of the Twenty-eighth Australasian conference on Computer Science - Volume 38
A General Framework for Temporal Video Scene Segmentation
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Evaluating bag-of-visual-words representations in scene classification
Proceedings of the international workshop on Workshop on multimedia information retrieval
The Locally Weighted Bag of Words Framework for Document Representation
The Journal of Machine Learning Research
Content personalization and adaptation for three-screen services
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Scene detection using visual and audio attention
Proceedings of the 2008 Ambi-Sys workshop on Ambient media delivery and interactive television
Efficient Video Shot Summarization Using an Enhanced Spectral Clustering Approach
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
Using MPEG-7 and MPEG-21 for Personalizing Video
IEEE MultiMedia
Semantic Grouping of Shots in a Video Using Modified K-Means Clustering
ICAPR '09 Proceedings of the 2009 Seventh International Conference on Advances in Pattern Recognition
Movie segmentation into scenes and chapters using locally weighted bag of visual words
Proceedings of the ACM International Conference on Image and Video Retrieval
Video shot boundary detection: Seven years of TRECVid activity
Computer Vision and Image Understanding
Some properties of the Gaussian kernel for one class learning
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Coherent bag-of audio words model for efficient large-scale video copy detection
Proceedings of the ACM International Conference on Image and Video Retrieval
A unified user preference based framework for video content personalization
ACM SIGMultimedia Records
Automatic motion-guided video stylization and personalization
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Exploring self-similarities of bag-of-features for image classification
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Audio-Visual fusion for detecting violent scenes in videos
SETN'10 Proceedings of the 6th Hellenic conference on Artificial Intelligence: theories, models and applications
Video scene segmentation using Markov chain Monte Carlo
IEEE Transactions on Multimedia
Automated high-level movie segmentation for advanced video-retrieval systems
IEEE Transactions on Circuits and Systems for Video Technology
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
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Recent advances in technology have increased the availability of video data, creating a strong requirement for efficient systems to manage those materials. To make efficient use of video information, first, the data has to be automatic segmented into smaller, manageable and understandable units, like scenes. This paper presents a new, multimodal video scene segmentation technique. The proposed approach is to combine Bag of Features based techniques (visual and aural) in order to explore the latent semantic obtained by them in complementary way, improving scene segmentation. The results achieved showed to be promising.