| Title | Effect of Video Pixel-Binning on Source Attribution of Mixed Media |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Taspinar, Samet, Mohanty, Manoranjan, Memon, Nasir |
| Conference Name | ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
| Keywords | Acoustics, attribution, Cameras, composability, Conferences, Fingerprint recognition, Human Behavior, Media, Metrics, pubcrawl, Signal processing, visualization |
| Abstract | Photo Response Non-Uniformity (PRNU) noise obtained from images or videos is used as a camera fingerprint to attribute visual objects captured by a camera. The PRNU-based source attribution method, however, fails when there is misalignment between the fingerprint and the query object. One example of such a misalignment, which has been overlooked in the field, is caused by the in-camera resizing technique that a video may have been subjected to. This paper investigates the attribution of visual media in the context of matching a video query object to an image fingerprint or vice versa. Specifically this paper focuses on improving camera attribution performance by taking into account the effects of binning, a commonly used in-camera resizing technique applied to video. We experimentally show that the True Positive Rate (TPR) obtained when binning is considered is approximately 3% higher. |
| DOI | 10.1109/ICASSP39728.2021.9415094 |
| Citation Key | taspinar_effect_2021 |
Effect of Video Pixel-Binning on Source Attribution of Mixed Media