{"id":94,"date":"2018-01-17T18:08:32","date_gmt":"2018-01-17T09:08:32","guid":{"rendered":"https:\/\/kaumediaprocessing.wordpress.com\/?page_id=94"},"modified":"2024-07-16T02:48:08","modified_gmt":"2024-07-16T02:48:08","slug":"video-forensic","status":"publish","type":"page","link":"http:\/\/multimedia.kau.ac.kr\/?page_id=94","title":{"rendered":"Video Forensic"},"content":{"rendered":"

Video forensics<\/b><\/span>
\n  Video forensics is an investigation technique for detecting manipulated(forged) video, and is a key technology for solving various image\/video related legal problems.
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Counter anti-forensic for Defending Adversarial Attacks<\/strong><\/b><\/span><\/p>\n

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\n[K. Uddin, Y. Yang, T. H. Jeong, B. T. Oh, \u201cA robust open-set multi-instance learning for defending adversarial attacks in digital image,\u201d IEEE Trans. on Information Forensics and Security, To be published.]<\/span>
\n[K. Uddin, T. H. Jeong, B. T. Oh, \u201cCounter-act against GAN-based attacks: A collaborative learning approach for anti-forgery detection,\u201d Applied Soft Computing, Mar. 2024. <\/span><\/span><\/p>\n

Detection of Double compression<\/strong><\/b><\/span>
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\n[K. Uddin, Y. Yang, B. T. Oh, \u201cDeep learning-based counter anti-forensic of GAN-based attack in HEVC compressed domain using coding pattern analysis,\u201d Expert Systems With Applications, Dec. 2023. <\/span>
\n[K. Uddin, Y. Yang, B. T. Oh, \u201cDouble Compression Detection in HEVC-coded video with the same coding parameters using picture partitioning information,\u201d Signal Processing: Image Communication, Apr. 2022.]<\/span><\/span><\/p>\n

Detection of Frame Deletion in HEVC Compressed Domain<\/strong><\/b><\/span>
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\n[J. H. Hong, Y. Yang, and B. T. Oh, \u201cDetection of frame deletion in HEVC-coded video in the compressed domain,\u201d Digital Investigation, Sep. 2019.]<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Video forensics   Video forensics is an investigation technique for detecting manipulated(forged) video, and is a key technology for solving various image\/video related legal problems. Counter anti-forensic for Defending Adversarial Attacks   [K. Uddin, Y. Yang, T. H. Jeong, B. T. Oh, \u201cA robust open-set multi-instance learning for defending adversarial attacks in digital image,\u201d IEEE … Continue reading Video Forensic<\/span> →<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"parent":16,"menu_order":4,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-94","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"http:\/\/multimedia.kau.ac.kr\/index.php?rest_route=\/wp\/v2\/pages\/94","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/multimedia.kau.ac.kr\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/multimedia.kau.ac.kr\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/multimedia.kau.ac.kr\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/multimedia.kau.ac.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=94"}],"version-history":[{"count":50,"href":"http:\/\/multimedia.kau.ac.kr\/index.php?rest_route=\/wp\/v2\/pages\/94\/revisions"}],"predecessor-version":[{"id":1066,"href":"http:\/\/multimedia.kau.ac.kr\/index.php?rest_route=\/wp\/v2\/pages\/94\/revisions\/1066"}],"up":[{"embeddable":true,"href":"http:\/\/multimedia.kau.ac.kr\/index.php?rest_route=\/wp\/v2\/pages\/16"}],"wp:attachment":[{"href":"http:\/\/multimedia.kau.ac.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=94"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}