教師資料查詢 | 類別: 期刊論文 | 教師: 林承賢 CHENG SHIAN LIN (瀏覽個人網頁)

標題:A passive approach for effective detection and localization of region-level video forgery with spatio-temporal coherence analysis
學年
學期
出版(發表)日期2014/06/01
作品名稱A passive approach for effective detection and localization of region-level video forgery with spatio-temporal coherence analysis
作品名稱(其他語言)
著者Cheng-Shian Lin; Jyh-Jong Tsay
單位
出版者
著錄名稱、卷期、頁數Digital Investigation 11(2), pp.120–140
摘要In this paper, we present a passive approach for effective detection and localization of region-level forgery from video sequences possibly with camera motion. As most digital image/video capture devices do not have modules for embedding watermark or signature, passive forgery detection which aims to detect the traces of tampering without embedded information has become the major focus of recent research. However, most of current passive approaches either work only for frame-level detection and cannot localize region-level forgery, or suffer from high false detection rates for localization of tampered regions. In this paper, we investigate two common region-level inpainting methods for object removal, temporal copy-and-paste and exemplar-based texture synthesis, and propose a new approach based on spatio-temporal coherence analysis for detection and localization of tampered regions. Our approach can handle camera motion and multiple object removal. Experiments show that our approach outperforms previous approaches, and can effectively detect and localize regions tampered by temporal copy-and-paste and texture synthesis.
關鍵字Passive video forgery detection;Temporal copy-and-paste;Exemplar-based texture synthesis;Spatio-temporal slice analysis;Region-level inpainting
語言英文(美國)
ISSN1742-2876
期刊性質國外
收錄於SCI;
產學合作
通訊作者Lin, Cheng-shian
審稿制度
國別美國
公開徵稿
出版型式,電子版
相關連結
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