VIDEX: an integrated generic video indexing approach

This paper presents an integrated generic technique for low-and high-level video indexing. The proposed approach tries to integrate the advantages of existing low- and high-level video indexing approaches by reducing their shortcomings. Furthermore, the model introduces concepts for a detailed structuring of video streams, and for correlations of low-and high-level video objects. The proposed model is called generic, as it only defines a framework of classes for an implementating a prototype of a distibuted multimedia information system supporting content-based video retrieval.

[1]  Rune Hjelsvold,et al.  Modelling and Querying Video Data , 1994, VLDB.

[2]  Dimitris Papadias,et al.  Spatial Relations, Minimum Bounding Rectangles, and Spatial Data Structures , 1997, Int. J. Geogr. Inf. Sci..

[3]  James F. Allen.  Maintaining knowledge about temporal intervals , 1983, CACM.

[4]  B. S. Manjunath,et al.  NeTra-V: toward an object-based video representation , 1998, IEEE Trans. Circuits Syst. Video Technol..

[5]  M. Egenhofer,et al.  Point-Set Topological Spatial Relations , 2001 .

[6]  Thomas S. Huang,et al.  Exploring video structure beyond the shots , 1998, Proceedings. IEEE International Conference on Multimedia Computing and Systems (Cat. No.98TB100241).

[7]  Glorianna Davenport,et al.  Cinematic primitives for multimedia , 1991, IEEE Computer Graphics and Applications.

[8]  Ahmed K. Elmagarmid,et al.  Spatial and temporal content-based access to hypervideo databases , 1998, The VLDB Journal.

[9]  John S. Boreczky,et al.  Comparison of video shot boundary detection techniques , 1996, J. Electronic Imaging.

[10]  Shih-Fu Chang,et al.  Video object model and segmentation for content-based video indexing , 1997, Proceedings of 1997 IEEE International Symposium on Circuits and Systems. Circuits and Systems in the Information Age ISCAS '97.

[11]  B. S. Manjunath,et al.  NeTra-V: toward an object-based video representation , 1997, Electronic Imaging.