Segmentation of video by clustering and graph analysis
Computer Vision and Image Understanding
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Motion-Based Video Representation for Scene Change Detection
International Journal of Computer Vision
Constructing table-of-content for videos
Multimedia Systems - Special section on video libraries
Video Scene Segmentation via Continuous Video Coherence
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Automatic Video Scene Extraction by Shot Grouping
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Action movies segmentation and summarization based on tempo analysis
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
The Semantic Pathfinder: Using an Authoring Metaphor for Generic Multimedia Indexing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatically selecting shots for action movie trailers
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Movie scene segmentation using background information
Pattern Recognition
Regim, research group on intelligent machines, tunisia, at TRECVID 2008, BBC rushes summarization
TVS '08 Proceedings of the 2nd ACM TRECVid Video Summarization Workshop
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Effective video scene detection approach based on cinematic rules
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Shot clustering techniques for story browsing
IEEE Transactions on Multimedia
Detection and representation of scenes in videos
IEEE Transactions on Multimedia
Automated high-level movie segmentation for advanced video-retrieval systems
IEEE Transactions on Circuits and Systems for Video Technology
Shot-boundary detection: unraveled and resolved?
IEEE Transactions on Circuits and Systems for Video Technology
Scene extraction in motion pictures
IEEE Transactions on Circuits and Systems for Video Technology
IM(S)2: Interactive movie summarization system
Journal of Visual Communication and Image Representation
| Hi-index | 0.00 |
The need for watching movies is in perpetual increase due to the widespread of the internet and the increasing popularity of the video on demand service. The important mass of movies stored in the Internet or in VOD servers need to be structured to accelerate the browsing operation. In this paper, we propose a new system called "The Scene Pathfinder" that aims at segmenting the movies into scenes to give users the opportunity to have a non- sequential access and to watch particular scenes of the movie. This helps them to judge quickly the movie and decide if they have to buy or to download it and avoiding waste of time and money. The proposed approach is multimodal. We use both of visual and auditory information to accomplish the segmentation. We base on the assumption that every movie scene is either action or non- action scene. Non-action scenes are generally characterized by static backgrounds and occur in the same place. For this reason, we base on the content information and on the Kohonen map to extract these kinds of scenes (shots agglomerations). Action scenes are characterized by high tempo and motion. For this reason, we base on tempo features and on the Fuzzy CMeans to classify shots and to localize the action zones. The two processes are complementary. Indeed, the over segmentation that may occur in the extraction of action scenes by basing on the content information is repaired by the Fuzzy clustering. Our system is tested on a varied database and obtained results show the merit of our approach and that our assumptions are well-founded.