LEADER 01723nam 2200349 450 001 9910688273803321 005 20230624234157.0 035 $a(CKB)5400000000046108 035 $a(NjHacI)995400000000046108 035 $a(EXLCZ)995400000000046108 100 $a20230624d2021 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aMultimedia Information Retrieval /$fedited by Eduardo Quevedo 210 1$aLondon :$cIntechOpen,$d2021. 215 $a1 online resource (136 pages) $cillustrations 311 $a1-83880-540-0 320 $aIncludes bibliographical references. 330 $aDue to increasing globalization and the explosion of media available on the Internet, computer techniques to organize, classify, and find desired media are becoming more and more relevant. One such technique to extract semantic information from multimedia data sources is Multimedia Information Retrieval (MMIR or MIR). MIR is a broad area covering both structural issues and intelligent content analysis and retrieval. These aspects must be integrated into a seamless whole, which involves expertise from a wide variety of fields. This book presents recent applications of MIR for content-based image retrieval, bioinformation analysis and processing, forensic multimedia retrieval techniques, and audio and music classification. 606 $aMultimedia systems 615 0$aMultimedia systems. 676 $a006.7 702 $aQuevedo$b Eduardo 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910688273803321 996 $aMultiMedia information retrieval$92435403 997 $aUNINA