By Jagath C. Rajapakse, Lipo Wang
This monograph provides novel purposes of soppy computing in multimedia processing. It contains contributions through prime specialists of their fields addressing vital and well timed difficulties in multimedia computing equivalent to content material research, indexing and retrieval, attractiveness and compression, or processing and filtering. This booklet goals at researchers, graduate scholars, and commercial practitioners within the extensive parts of multimedia and tender computing.
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Additional resources for Intelligent Multimedia Processing with Soft Computing
However, with quantization comes loss of color information and there is no set rule as t o how much quantization should be done. the color space which is being histogrammed can have a profound effect on the retrieval results and also governs the type and amount of quantization. For instance, for the RGB space, uniform quantization can be used since the distribution of each color plane is essentially uniform. However, in spaces such as the Munsell and LUV, uniform quantization may not suffice [lo].
G. (1995) Speech Recognition in the Informedia Digital Video Library: Uses and Limitations. Proc. of the Seventh International Conference on Tools with Artificial Intelligence. 288-294. 29. , Kanade, T . (1997) Semantic Analysis for Video Contents Extraction-Spotting by Association in News Video. Proc. of the fifth ACM International Conference on Multimedia. 393-401. 30. Naphade, M. , Huang, R. S. (1998) Probabilistic Multimedia Objects (Multijects): A Novel Approach to Video Indexing and Retrieval in Multimedia Systems.
1997) Visual Information Retrieval from Large Distributed Online Repositories. Communications of the ACM. 40, 63-71. 32. Lay, J. , Guan, L. (2004) Retrieval for Color Artistry Concepts. IEEE Transactions on Image Processing. 13, 326-339. 33. , Guan, L. (2002) Automatic machine interactions for contentbased image retrieval using a self-organizing tree map architecture. IEEE Trans. on Neural Networks. 13. 821-834. Vector Color Image Indexing and Retrieval within A Small-World Framework D. Androutsos,' P.