Iterative key frame selection in the rate-constraint environment
Video representation through key frames has been addressed frequently as an efficient way of preserving the whole temporal information of sequence with a considerably smaller amount of data. Such compact video representation is suitable for the purpose of video browsing in limited storage or transmi...
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Veröffentlicht in: | Signal processing. Image communication 2003, Vol.18 (1), p.1-15 |
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creator | Lee, Hun-Cheol Kim, Seong-Dae |
description | Video representation through key frames has been addressed frequently as an efficient way of preserving the whole temporal information of sequence with a considerably smaller amount of data. Such compact video representation is suitable for the purpose of video browsing in limited storage or transmission bandwidth environments. In this case, the controllability of the total key frame number (i.e. key frame rate) depending on the storage or bandwidth capacity is an important requirement for the key frame selection method. In this paper, we present a sequential key frame selection method when the number of key frames is given as a constraint. It first selects the pre-determined number of initial key frames and time-intervals. Then, it adjusts the positions of key frames and time-intervals by iteration, which reduces the distortion step by step. Experimental results demonstrate the improved performance of our algorithm over the existing approaches. |
doi_str_mv | 10.1016/S0923-5965(02)00089-9 |
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Such compact video representation is suitable for the purpose of video browsing in limited storage or transmission bandwidth environments. In this case, the controllability of the total key frame number (i.e. key frame rate) depending on the storage or bandwidth capacity is an important requirement for the key frame selection method. In this paper, we present a sequential key frame selection method when the number of key frames is given as a constraint. It first selects the pre-determined number of initial key frames and time-intervals. Then, it adjusts the positions of key frames and time-intervals by iteration, which reduces the distortion step by step. Experimental results demonstrate the improved performance of our algorithm over the existing approaches.</description><identifier>ISSN: 0923-5965</identifier><identifier>EISSN: 1879-2677</identifier><identifier>DOI: 10.1016/S0923-5965(02)00089-9</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Applied sciences ; Exact sciences and technology ; Image processing ; Information, signal and communications theory ; Key frame selection ; Rate-constrained ; Signal processing ; Telecommunications and information theory ; Video indexing ; Video retrieval ; Visual content representation</subject><ispartof>Signal processing. 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Experimental results demonstrate the improved performance of our algorithm over the existing approaches.</description><subject>Applied sciences</subject><subject>Exact sciences and technology</subject><subject>Image processing</subject><subject>Information, signal and communications theory</subject><subject>Key frame selection</subject><subject>Rate-constrained</subject><subject>Signal processing</subject><subject>Telecommunications and information theory</subject><subject>Video indexing</subject><subject>Video retrieval</subject><subject>Visual content representation</subject><issn>0923-5965</issn><issn>1879-2677</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><recordid>eNqFkD1PwzAQhi0EEqXwE5CygGAIXJzYtSdAFR-VKjEAs-U6Z2FInGK7lfrvSVoEI9Mtz3vv3UPIaQFXBRT8-gUkLXMmObsAegkAQuZyj4wKMZE55ZPJPhn9IofkKMaPHqIVyBG5nSUMOrk1Zp-4yWzQLWYRGzTJdT5zPkvvmPUE5qbzMQXtfMrQr13ofIs-HZMDq5uIJz9zTN4e7l-nT_n8-XE2vZvnpuQi5UZYXi6o5bUsLbDCWADLrAGkyGUNtORMQrHAWi-4LStmKS9pZVAyIUCKckzOd3uXoftaYUyqddFg02iP3SoqKorhc9aDbAea0MUY0KplcK0OG1WAGnyprS81yFBA1daXkn3u7KdAR6Ob3oQ3Lv6FqwoEheGQmx2H_bdrh0FF49AbrF3oram6c_80fQNjvH8Y</recordid><startdate>2003</startdate><enddate>2003</enddate><creator>Lee, Hun-Cheol</creator><creator>Kim, Seong-Dae</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>2003</creationdate><title>Iterative key frame selection in the rate-constraint environment</title><author>Lee, Hun-Cheol ; Kim, Seong-Dae</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c368t-c8f63b2f6d93f051cf00f5fc0e2e69d02365901bedab6f345f26324ce95880983</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Applied sciences</topic><topic>Exact sciences and technology</topic><topic>Image processing</topic><topic>Information, signal and communications theory</topic><topic>Key frame selection</topic><topic>Rate-constrained</topic><topic>Signal processing</topic><topic>Telecommunications and information theory</topic><topic>Video indexing</topic><topic>Video retrieval</topic><topic>Visual content representation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Hun-Cheol</creatorcontrib><creatorcontrib>Kim, Seong-Dae</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Signal processing. 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subjects | Applied sciences Exact sciences and technology Image processing Information, signal and communications theory Key frame selection Rate-constrained Signal processing Telecommunications and information theory Video indexing Video retrieval Visual content representation |
title | Iterative key frame selection in the rate-constraint environment |
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