Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
An algorithm for key-frame determination in digital video
Proceedings of the 2001 ACM symposium on Applied computing
Information Retrieval
Video Scene Segmentation via Continuous Video Coherence
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
IEEE Transactions on Knowledge and Data Engineering
Introduction to Information Retrieval
Introduction to Information Retrieval
Efficient Video Shot Summarization Using an Enhanced Spectral Clustering Approach
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
Automatically Segmenting LifeLog Data into Events
WIAMIS '08 Proceedings of the 2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services
Multi-modal scene segmentation using scene transition graphs
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Movie segmentation into scenes and chapters using locally weighted bag of visual words
Proceedings of the ACM International Conference on Image and Video Retrieval
Advanced Techniques in CBIR: Local Descriptors, Visual Dictionaries and Bags of Features
SIBGRAPI-TUTORIALS '09 Proceedings of the 2009 Tutorials of the XXII Brazilian Symposium on Computer Graphics and Image Processing
Video shot boundary detection: Seven years of TRECVid activity
Computer Vision and Image Understanding
Adaptive key frame selection for efficient video coding
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
Digital video scenes identification using audiovisual features
WebMedia '09 Proceedings of the XV Brazilian Symposium on Multimedia and the Web
Object motion based video key-frame extraction
ACM SIGGRAPH ASIA 2010 Posters
Personalization in multimedia retrieval: A survey
Multimedia Tools and Applications
A novel horror scene detection scheme on revised multiple instance learning model
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part II
Video scene segmentation using time constraint dominant-set clustering
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Video shot representation based on histograms
Proceedings of the 28th Annual ACM Symposium on Applied Computing
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Nowadays, there a increasing interest in video scene segmentation due huge amount of videos available through services like YouTube. Although there are some techniques which obtain relatively good precision and recall values when segmenting the video in scenes, they are somewhat limited because the high computational cost. A well know technique to accomplish video scene segmentation is the shot coherence model, which presents lower precision and recall than state of art methods, like machine learning and multimodality, but stands out for being simple. The improvement of the techniques based on shot coherence models could be beneficial to these state of the art segmentation methods. That way, this paper presents a new technique for scene segmentation using shot coherence and optical flow features. The technique is presented and evaluated through a series of precision, recall and F1 values, obtaining results close or even better of those obtained by related works.