LEADER 04083nam 2200613 a 450 001 9910483479303321 005 20200520144314.0 010 $a3-540-32175-6 024 7 $a10.1007/11670834 035 $a(CKB)1000000000236483 035 $a(SSID)ssj0000315695 035 $a(PQKBManifestationID)11264806 035 $a(PQKBTitleCode)TC0000315695 035 $a(PQKBWorkID)10256125 035 $a(PQKB)10808420 035 $a(DE-He213)978-3-540-32175-0 035 $a(MiAaPQ)EBC3067647 035 $a(PPN)123131324 035 $a(EXLCZ)991000000000236483 100 $a20060118d2006 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAdaptive multimedia retrieval $euser, context, and feedback : third international workshop, AMR 2005, Glasgow, UK, July 28-29, 2005 : revised selected papers /$fMarcin Detyniecki ... [et al.] (eds.) 205 $a1st ed. 2006. 210 $aBerlin $cSpringer$d2006 215 $a1 online resource (XII, 284 p.) 225 1 $aLecture notes in computer science,$x0302-9743 ;$v3877 225 1 $aLNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-32174-8 320 $aIncludes bibliographical references and index. 327 $aInvited contributions -- Ranking -- Systems -- Spatio-temporal relations -- Using feedback -- Using context -- Meta data. 330 $aThis book is an extended collection of revised contributions that were initially submitted to the International Workshop on Adaptive Multimedia Retrieval (AMR 2005). This workshop was organized during July 28-29, 2005, at the U- versity of Glasgow, UK, as part of an information retrieval research festival and in co-location with the 19th International Joint Conference on Arti?cial Int- ligence (IJCAI 2005). AMR 2005 was the third and so far the biggest event of the series of workshops that started in 2003 with a workshop during the 26th German Conference on Arti?cial Intelligence (KI 2003) and continued in 2004 as part of the 16th European Conference on Arti?cial Intelligence (ECAI 2004). Theworkshopfocussedespeciallyonintelligentmethodstoanalyzeandstr- ture multimedia collections, with particular attention on methods that are able to support the user in the search process, e. g. , by providing additional user-and context-adapted information about the search results as well as the data coll- tion itself and especially by adapting the retrieval tool to the user?s needs and interests. The invited contributions presented in the ?rst section of this book? ?Putting the User in the Loop: Visual Resource Discovery? from Stefan Rug ¨ er, ?Using Relevance Feedback to Bridge the Semantic Gap? from Ebroul Izquierdo and Divna Djordjevic, and ?Leveraging Context for Adaptive Multimedia - trieval: A Matter of Control? from Gary Marchionini?illustrate these core t- ics: user,contextandfeedback. Theseaspectsarediscussedfromdi?erent points ofviewinthe18contributionsthatareclassi?edintosixmainchapters,following rather closely the workshop?s sessions: ranking, systems, spatio-temporal re- tions, using feedback, using context and meta-data. 410 0$aLecture notes in computer science ;$v3877. 410 0$aLNCS sublibrary.$nSL 3,$pInformation systems and applications, incl. Internet/Web, and HCI. 517 3 $aAMR 2005 606 $aInformation storage and retrieval systems$xAudio-visual materials$vCongresses 606 $aMultimedia systems$vCongresses 606 $aInformation retrieval$vCongresses 615 0$aInformation storage and retrieval systems$xAudio-visual materials 615 0$aMultimedia systems 615 0$aInformation retrieval 676 $a006.7 701 $aDetyniecki$b Marcin$01750469 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483479303321 996 $aAdaptive multimedia retrieval$94203311 997 $aUNINA