LEADER 01843nam 2200337 450 001 9910623979303321 005 20230830150019.0 035 $a(CKB)5710000000060810 035 $a(NjHacI)995710000000060810 035 $a(EXLCZ)995710000000060810 100 $a20230830d2022 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProceedings of the 3rd International Workshop on Human-Centric Multimedia Analysis /$fDingwen Zhang [and seven others] 210 1$aNew York :$cAssociation for Computing Machinery,$d2022. 215 $a1 online resource (100 pages) 311 $a1-4503-9492-2 330 $aIt is our great pleasure to welcome you to the third International Workshop on Human-centric Multimedia Analysis - ACM MM 2022. This year's symposium continues its tradition of focusing on the tasks of human-centric analysis with multimedia and multimodal information, such as face detection and recognition, human body pattern analysis, person re-identification, human action detection, etc. The major mission of the symposium is to bring together the state-of-the-art research on human-centric multimedia analysis, showcase innovative methodologies and ideas, and introduce interesting real-world human-centric multimedia analysis systems or applications. The goal of HCMA'22 is to provide a platform for bridging the gap between the communities of human analysis and multimedia. 606 $aMachine learning 615 0$aMachine learning. 676 $a006.31 700 $aZhang$b Dingwen$01409877 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910623979303321 996 $aProceedings of the 3rd International Workshop on Human-Centric Multimedia Analysis$93497432 997 $aUNINA