Copyright 2002 Society of Photo-Optical Instrumentation Engineers. This paper was (will be) published in and is made available as an electronic reprint [preprint] with permission of SPIE. Single print or electronic copies for personal use only are allowed. Systematic or multiple reproduction, distribution to multiple locations through an electronic listserver or other electronic means, duplication of any material in this paper for a fee or for commericial purposes, or modification of the content of the pater are all prohibited. By choosing to view or print this document, you agree to all the provisions of the copyright law protecting it.
Media analysis for video indexing is witnessing an increasing in uence of statistical techniques. Examples of these techniques include the use of generative modelsas well as discriminant techniques for video structuring, classi cation, summarization, indexing and retrieval. Advances in multimedia analysis are related directly to advances in signal processing, computer vision, pattern recognition, multimedia databases and smart sensors. This paper highlights the statistical techniques in multimedia retrieval with particular emphasis on semantic characterization.
By: Milind R. Naphade
Published in: SPIE Proceedings, volume 4862, (no ), pages 138-50 in 2002
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