Abstract
Combating against camcorder piracy requires identification of the theater and show time information, followed by the estimation of camcorder location in a theater from which an illegal recording was made, in order to find out the pirate and limit the number of pirate suspects. State-of-the-art pirate position estimation frameworks employ watermarking techniques to approximate the position of the pirate in a movie theater. However, watermarks are fragile in nature and involve complex procedures, which may damage the video content. To solve this, a novel forensic tracking framework, which exploits visual-audio fingerprints for estimating the location of the pirate in a theater without embedding digital watermarks is presented. Precisely, the proposed framework first spatio-temporally aligns the source movie and captured video contents, then estimates the geometric distortions and consequently derives the illegal capture location in a theater by exploiting multimodal features. The case study results in the form of sophisticated In-theater experiments prove that, it is certainly possible to estimate the illegal capture location in a theater with a mean absolute error of (38.25, 22.45, 11.11) cm, by employing multimodal fingerprints. In this way, the proposed article demonstrates a brand-new application of video fingerprinting for investigating the location of illegal camcorder capture in a theater, which is applicable for digital cinema applications.
| Original language | English |
|---|---|
| Pages (from-to) | 48-63 |
| Number of pages | 16 |
| Journal | Image and Vision Computing |
| Volume | 76 |
| DOIs | |
| Publication status | Published - 08-2018 |
All Science Journal Classification (ASJC) codes
- Signal Processing
- Computer Vision and Pattern Recognition
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