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Zhong et al., 2020 - Google Patents

Dense moment feature index and best match algorithms for video copy-move forgery detection

Zhong et al., 2020

Document ID
16347770114349962783
Author
Zhong J
Pun C
Gan Y
Publication year
Publication venue
Information Sciences

External Links

Snippet

This paper proposes a video copy-move forgery detection method to effectively address inter/intra-frame forgeries both at the frame and pixel level. First, a unified moment framework is proposed to extract multi-dimensional dense moment features from the video …
Continue reading at www.sciencedirect.com (other versions)

Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6201—Matching; Proximity measures
    • G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • G—PHYSICS
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