Morphological approach to scene change detection and digital video storage and retrieval

Woonkyung Michael Kim; Samuel Moon-Ho Song; Hyeokman Kim; Cheeyang Song; Byung Woong Kwon; Sun Geun Kim

doi:10.1117/12.333893

17 December 1998 Morphological approach to scene change detection and digital video storage and retrieval

Woonkyung Michael Kim, Samuel Moon-Ho Song, Hyeokman Kim, Cheeyang Song, Byung Woong Kwon, Sun Geun Kim

Proceedings Volume 3656, Storage and Retrieval for Image and Video Databases VII; (1998) https://doi.org/10.1117/12.333893
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

Abstract

With the abstraction of digital video, as the corresponding binary video, a process which, upon subjective experimentation seems to preserve the intelligibility of video content, we can pursue a precise and analytic approach to digital video storage and retrieval algorithm design based upon geometrical and morphological intuition. The foremost and tangible general benefit of such abstraction, however, is the immediate reduction of both data and computational complexities, involved in implementing various algorithms and databases. The general paradigm presented may be utilized to address all issues pertaining to video library construction, including visualization, optimum feedback query generation, and object recognition. However, the primary focus of attention in this paper pertains to detection of fast and gradual scene changes, such as dissolves, fades, and various special effects, such as wipes. Upon simulation, we observed that we can achieve performances comparable to those of others with drastic reductions in both storage and computational complexities. The conversion from grayscale to binary videos can be performed directly (with minimal additional computation) in the compressed domain by thresholding on the DCT DC coefficients themselves, or by using the contour information attached to MPEG4 formats. The algorithms presented herein are ideally suited for performing fast (on-the-fly) determinations of scene change, object recognition, and/or tracking, as well as other, more intelligent, tasks, traditionally requiring heavy demand of computational and/or storage complexities. The fast determinations may then be used on their own merit , or can be used in conjunction/complement with other higher-layer information in the future.

Citation Download Citation

Woonkyung Michael Kim, Samuel Moon-Ho Song, Hyeokman Kim, Cheeyang Song, Byung Woong Kwon, and Sun Geun Kim "Morphological approach to scene change detection and digital video storage and retrieval", Proc. SPIE 3656, Storage and Retrieval for Image and Video Databases VII, (17 December 1998); https://doi.org/10.1117/12.333893

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