A study of discriminant visual descriptors for sport video shot boundary detection

Video shot boundary detection is the process of automatically detecting the meaningful boundary content in video. Most shot boundary categorisation techniques use features extracted from the video frames to highlight the transition points between meaningful scenes. In this paper, a combination of global and local feature descriptors is proposed to represent the temporal characteristic in video. Motivated by the practical applications with moderate computational time, a video shot boundary detection scheme using supervised learning is proposed. The performance evaluation is constructed on a golf video dataset using the precision and recall performance measures.

[1]  Meng Wang,et al.  Adaptive reference frame selection for near-duplicate video shot detection , 2010, 2010 IEEE International Conference on Image Processing.

[2]  Chih-Jen Lin,et al.  A Practical Guide to Support Vector Classication , 2008 .

[3]  Ioannis Pitas,et al.  Video shot segmentation using fusion of SVD and mutual information features , 2005, 2005 IEEE International Symposium on Circuits and Systems.

[4]  Li Li,et al.  A Survey on Visual Content-Based Video Indexing and Retrieval , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[5]  Ian H. Witten,et al.  The WEKA data mining software: an update , 2009, SKDD.

[6]  Li Huan,et al.  A Method for Fast Shot Boundary Detection Based on SVM , 2008, 2008 Congress on Image and Signal Processing.

[7]  Yong Shi,et al.  Fast Video Shot Boundary Detection Based on SVD and Pattern Matching , 2013, IEEE Transactions on Image Processing.

[8]  Luc Van Gool,et al.  SURF: Speeded Up Robust Features , 2006, ECCV.

[9]  Corinna Cortes,et al.  Support-Vector Networks , 1995, Machine Learning.

[10]  Guo-Shiang Lin,et al.  Video-shot transition detection using spatio-temporal analysis and fuzzy classification , 2009, 2009 IEEE International Symposium on Circuits and Systems.

[11]  N. Nikolaidis,et al.  Video shot detection and condensed representation. a review , 2006, IEEE Signal Processing Magazine.

[12]  Wei Li,et al.  Efficient Shot Boundary Detection Based on Scale Invariant Features , 2009, 2009 Fifth International Conference on Image and Graphics.

[13]  Xiao-Ping Zhang,et al.  Video shot boundary detection using independent component analysis , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

[14]  S. Domnic,et al.  Edge Strength Extraction using Orthogonal Vectors for Shot Boundary Detection , 2012 .

[15]  Juan Chen,et al.  A fuzzy logic method of feature representation for shot boundary detection , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

[16]  Chih-Jen Lin,et al.  LIBSVM: A library for support vector machines , 2011, TIST.

[17]  Vasileios Mezaris,et al.  Fast shot segmentation combining global and local visual descriptors , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[18]  Quan Zheng,et al.  Video shot boundary detection with local feature post refinement , 2008, 2008 9th International Conference on Signal Processing.

[19]  Bhabatosh Chanda,et al.  A Model-Based Shot Boundary Detection Technique Using Frame Transition Parameters , 2012, IEEE Transactions on Multimedia.

[20]  Junaid Baber,et al.  Shot boundary detection from videos using entropy and local descriptor , 2011, 2011 17th International Conference on Digital Signal Processing (DSP).

[21]  Juan Chen,et al.  Shot Boundary Detection in MPEG Videos Using Local and Global Indicators , 2009, IEEE Transactions on Circuits and Systems for Video Technology.