LEADER 02203nam 2200397 450 001 9910412077203321 005 20230827110421.0 035 $a(CKB)5280000000243208 035 $a(NjHacI)995280000000243208 035 $a(EXLCZ)995280000000243208 100 $a20230827d2020 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProceedings of the 2020 Joint Workshop on Multimedia Artworks Analysis and Attractiveness Computing in Multimedia /$fWei-Ta Chu 210 1$aNew York, NY :$cAssociation for Computing Machinery,$d2020. 210 4$dİ2020 215 $a1 online resource (36 pages) 311 $a1-4503-7137-X 330 $aIt is our great pleasure to welcome you to the 2020 International Joint Workshop on Multimedia Artworks Analysis and Attractiveness Computing in Multimedia - MMArt&ACM'20. This is the third time that we join two workshops, i.e., International Workshop on Multimedia Artworks Analysis (MMArt) and International Workshop on Attractiveness Computing in Multimedia (ACM), in order to enlarge the scope of discussion issues and inspire more works in related fields. This is also the second time we host these two workshops at ACM International Conference on Multimedia Retrieval (ICMR). Despite the coronavirus issue, we keep recruiting original and novel works and finally accept five inspiring technical papers. They are mostly from Japan and Taiwan. We appreciate the contributions of all contributors of technical papers. We wish MMArt&ACM 2020 be a small but highly interactive and enjoyable workshop. 606 $aInformation retrieval 606 $aInformation retrieval$vCongresses 606 $aInteractive multimedia 615 0$aInformation retrieval. 615 0$aInformation retrieval 615 0$aInteractive multimedia. 676 $a025.524 700 $aChu$b Wei-Ta$0926152 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910412077203321 996 $aProceedings of the 2020 Joint Workshop on Multimedia Artworks Analysis and Attractiveness Computing in Multimedia$93441623 997 $aUNINA