Content Controlled Image Representation for Sports Streaming

Content based analysis has traditionally been posed in the context of identifying some material in response to a user query. This paper illustrates that given a content based analysis process that can identify semantic events in a sequence, that sequence can then be changed in various ways. A Motion Keyframe is presented to re-express the viewing of a sequence. The notion of content analysis for control of other media processing engines is introduced. Tennis footage is used to illustrate the ideas since sports in general contains strong contextual information.

[1]  Frédéric Dufaux,et al.  Efficient, robust, and fast global motion estimation for video coding , 2000, IEEE Trans. Image Process..

[2]  Anil C. Kokaram,et al.  Content Based Analysis for Video from Snooker Broadcasts , 2002, CIVR.

[3]  James W. Davis,et al.  The Recognition of Human Movement Using Temporal Templates , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Jean-Marc Odobez,et al.  Robust Multiresolution Estimation of Parametric Motion Models , 1995, J. Vis. Commun. Image Represent..

[5]  Shih-Fu Chang,et al.  Real-time content-based adaptive streaming of sports videos , 2001, Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL 2001).

[6]  Anil C. Kokaram,et al.  Joint audio visual retrieval for tennis broadcasts , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

[7]  Anil C. Kokaram,et al.  Gradient based dominant motion estimation with integral projections for real time video stabilisation , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

[8]  A. Murat Tekalp,et al.  Automatic Soccer Video Analysis and Summarization , 2003, IS&T/SPIE Electronic Imaging.

[9]  Anil K. Jain,et al.  Automatic classification of tennis video for high-level content-based retrieval , 1998, Proceedings 1998 IEEE International Workshop on Content-Based Access of Image and Video Database.

[10]  Walter Bender,et al.  Salient Stills: Process and Practice , 1996, IBM Syst. J..

[11]  John A. Robinson,et al.  Automated reverse storyboarding , 2004 .

[12]  Anil C. Kokaram,et al.  Modeling high level structure in sports with motion driven HMMs , 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[13]  Alberto Del Bimbo,et al.  Taking into Consideration Sports Semantic Annotation of Sports Videos Content-based Multimedia Indexing and Retrieval , 2002 .