{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T15:05:31Z","timestamp":1784041531791,"version":"3.55.0"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Institute of Information & Communications Technology Planning & Evaluation"},{"name":"Korean Government [Ministry of Science and ICT (MSIT)] through the Video Coding for Machine","award":["2020-0-00011"],"award-info":[{"award-number":["2020-0-00011"]}]},{"DOI":"10.13039\/501100010418","name":"IITP","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100010418","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Korean Government (MSIT) through the Artificial Intelligence Innovation Hub","award":["2021-0-02068"],"award-info":[{"award-number":["2021-0-02068"]}]},{"DOI":"10.13039\/501100010418","name":"IITP","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100010418","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Korean Government (MSIT) through the Artificial Intelligence Convergence Innovation Human Resources Development","award":["RS-2022-00155911"],"award-info":[{"award-number":["RS-2022-00155911"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. Video Technol."],"published-print":{"date-parts":[[2024,5]]},"DOI":"10.1109\/tcsvt.2023.3302858","type":"journal-article","created":{"date-parts":[[2023,8,7]],"date-time":"2023-08-07T18:30:44Z","timestamp":1691433044000},"page":"3156-3167","source":"Crossref","is-referenced-by-count":38,"title":["End-to-End Learnable Multi-Scale Feature Compression for VCM"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7378-7367","authenticated-orcid":false,"given":"Yeongwoong","family":"Kim","sequence":"first","affiliation":[{"name":"Visual Media Laboratory, School of Computing, Kyung Hee University, Yongin-si, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hyewon","family":"Jeong","sequence":"additional","affiliation":[{"name":"Visual Media Laboratory, School of Computing, Kyung Hee University, Yongin-si, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Janghyun","family":"Yu","sequence":"additional","affiliation":[{"name":"Visual Media Laboratory, School of Computing, Kyung Hee University, Yongin-si, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Younhee","family":"Kim","sequence":"additional","affiliation":[{"name":"Electronics and Telecommunications Research Institute (ETRI), Daejeon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0753-0699","authenticated-orcid":false,"given":"Jooyoung","family":"Lee","sequence":"additional","affiliation":[{"name":"Electronics and Telecommunications Research Institute (ETRI), Daejeon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1675-4814","authenticated-orcid":false,"given":"Se Yoon","family":"Jeong","sequence":"additional","affiliation":[{"name":"Electronics and Telecommunications Research Institute (ETRI), Daejeon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7308-133X","authenticated-orcid":false,"given":"Hui Yong","family":"Kim","sequence":"additional","affiliation":[{"name":"Visual Media Laboratory, School of Computing, Kyung Hee University, Yongin-si, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"Evaluation Framework for Video Coding for Machines","author":"Rafie","year":"2021"},{"key":"ref2","volume-title":"[VCM Track 1] EE1.2: P-Layer Feature Map Anchor generation for Object Detection on OpenImagev6 Dataset","author":"Lee","year":"2022"},{"key":"ref3","volume-title":"Call for Proposals for Video Coding for Machines","year":"2022"},{"key":"ref4","volume-title":"Use Cases and Requirements for Video Coding for Machines","year":"2022"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICME51207.2021.9428258"},{"key":"ref6","volume-title":"[VCM Track 1] Performance of the Enhanced MSFC With Bottom-up MSFF","author":"Kim","year":"2022"},{"key":"ref7","volume-title":"[VCM Track 1] Experimental Results of Multi-Scale Feature Anchor Generation on m59576","author":"Han","year":"2022"},{"key":"ref8","volume-title":"[VCM Track 1] Learning-Based Feature Compression for Instance Segmentation","author":"Zhang","year":"2022"},{"key":"ref9","volume-title":"Common Test Conditions and Evaluation Methodology for Video Coding for Machines","year":"2022"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2016.2577031"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref12","volume-title":"Call for Evidence for Video Coding for Machines","year":"2022"},{"key":"ref13","volume-title":"Detectron2","author":"Wu","year":"2019"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00796"},{"key":"ref19","volume-title":"[VCM Track 1] Advanced Feature Map Compression Based on Optimal Transformation With VVC and DeepCABAC","author":"Lee","year":"2022"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2020.2969554"},{"key":"ref21","volume-title":"[VCM Track 1] Feature Compression With Resize in Feature Domain","author":"Kang","year":"2022"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3260223"},{"key":"ref23","first-page":"1","article-title":"Variational image compression with a scale hyperprior","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Ball\u00e9"},{"key":"ref24","first-page":"1","article-title":"Joint autoregressive and hierarchical priors for learned image compression","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Minnen"},{"key":"ref25","first-page":"1","article-title":"Context-adaptive entropy model for end-to-end optimized image compression","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Lee"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP40778.2020.9190935"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01453"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/dcc52660.2022.00080"},{"key":"ref29","first-page":"1","article-title":"Transformer-based transform coding","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Zhu"},{"key":"ref30","first-page":"1","article-title":"EntroFormer: A transformer-based entropy model for learned image compression","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Qian"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01697"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i1.19884"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00583"},{"key":"ref34","first-page":"1","article-title":"Conditional image generation with PixelCNN decoders","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"29","author":"Van den Oord"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2012.2221191"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3101953"},{"key":"ref38","first-page":"1","article-title":"An image is worth 16 \u00d7 16 words: Transformers for image recognition at scale","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Dosovitskiy"},{"key":"ref39","article-title":"Empirical evaluation of rectified activations in convolutional network","author":"Xu","year":"2015","journal-title":"arXiv:1505.00853"},{"key":"ref40","article-title":"Density modeling of images using a generalized normalization transformation","author":"Ball\u00e9","year":"2015","journal-title":"arXiv:1511.06281"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.207"},{"key":"ref42","first-page":"1","article-title":"End-to-end optimized image compression","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Ball\u00e9"},{"key":"ref43","article-title":"CompressAI: A PyTorch library and evaluation platform for end-to-end compression research","author":"B\u00e9gaint","year":"2020","journal-title":"arXiv:2011.03029"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01316-z"},{"key":"ref45","first-page":"1","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Paszke"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"}],"container-title":["IEEE Transactions on Circuits and Systems for Video Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/76\/10527423\/10210338.pdf?arnumber=10210338","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,10]],"date-time":"2024-05-10T17:34:48Z","timestamp":1715362488000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10210338\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5]]},"references-count":46,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tcsvt.2023.3302858","relation":{},"ISSN":["1051-8215","1558-2205"],"issn-type":[{"value":"1051-8215","type":"print"},{"value":"1558-2205","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5]]}}}