Content-based Video Indexing


The evolution of computing and communication technologies and the World Wide Web have made multimedia database an important research area. Our work also includes content-based video indexing by integrating speech and image analysis. Our proposed system minimizes computation cost and maximizes detection accuracy of events of interest.

 

This is one of the very first works that combine speech and image analysis for content-based video indexing. It is widely referenced.

 

Papers:

 

1.        Y. Chang, W. Zeng, I. Kamel and R. Alonso, "Integrated image and speech analysis for content-based video indexing," IEEE Inter. Conf. Multimedia Computing and Systems, June 1996, Japan. ( 81 citations using Google Scholar search)

 

 


 

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