Identification of Interpolated Frames by Motion-Compensated Frame-Interpolation via Measuring Irregularity of Optical Flow
| Autor: | null xiangling ding, Yanming Huang, Dengyong Zhang, Junlin Ouyang |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | International Journal of Digital Crime and Forensics. 13:1-13 |
| ISSN: | 1941-6229 1941-6210 |
| DOI: | 10.4018/ijdcf.295813 |
| Popis: | Motion-compensated frame-interpolation (MCFI), synthesize intermediate frames between input frames guided by estimated motion, can be employed to falsify high bit-rate videos or high frame-rate videos with different frame-rates. Although existing MCFI identification methods have obtained satisfactory results, they are seriously degraded by stronger compression. Therefore, to conquer this issue, a blind forensics method is proposed to identify the adopted MCFI methods by considering the irregularities of optical flow produced by various MCFIs. In this paper, a set of compact features are constructed from the motion-aligned frame difference-weighted histogram of local binary pattern on the basis of optical flow (MAFD-WHLBP). Experimental results show that the proposed approach outperforms existing MCFI detectors under stronger compression. |
| Databáze: | OpenAIRE |
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