An HEVC steganalytic approach against motion vector modification using local optimality in candidate list Liu, Shuowei, Hu, Yongjian, Liu, Beibei and Li, Chang-Tsun 2021, An HEVC steganalytic approach against motion vector modification using local optimality in candidate list, Pattern recognition letters, vol. 146, pp. 23-30, doi: 10.1016/j.patrec.2021.02.018. Attached Files Name Description MIMEType Size Downloads Title An HEVC steganalytic approach against motion vector modification using local optimality in candidate list Author(s) Liu, Shuowei Hu, Yongjian Liu, Beibei Li, Chang-Tsun orcid.org/0000-0003-4735-6138 Journal name Pattern recognition letters Volume number 146 Start page 23 End page 30 Total pages 8 Publisher Elsevier Place of publication Amsterdam, The Netherlands Publication date 2021-06 ISSN 0167-8655 Keyword(s) Video steganalysis Motion vector Local optimality Candidate MV list Language eng DOI 10.1016/j.patrec.2021.02.018 Indigenous content off Field of Research 0801 Artificial Intelligence and Image Processing 0906 Electrical and Electronic Engineering 1702 Cognitive Sciences HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30149412 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 22 Mar 2021, 19:59:27 EST Tue, 23 Mar 2021, 04:03:15 EST Tue, 23 Mar 2021, 07:07:56 EST Wed, 24 Mar 2021, 11:21:44 EST Thu, 25 Mar 2021, 05:05:13 EST Sat, 03 Apr 2021, 01:34:25 EST Wed, 07 Apr 2021, 10:22:10 EST Wed, 07 Apr 2021, 10:23:23 EST Wed, 07 Apr 2021, 15:03:13 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 9 Abstract Views, 6 File Downloads  -  Detailed Statistics Created: Wed, 24 Mar 2021, 11:21:44 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.