A brand new application of visual-audio fingerprints: Estimating the position of the pirate in a theater - A case study

• Published in: Image and vision computing Vol. 76; pp. 48 - 63
• Main Author: Roopalakshmi, R.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.08.2018
• Subjects: Audio signatures; Camcorder piracy; Content-Based video Copy Detection (CBCD); Geometric distortions; Projective geometry; SURF; Visual fingerprints; SURF; Camcorder piracy; Audio signatures; Content-Based video Copy Detection (CBCD); Visual fingerprints; Projective geometry; Geometric distortions
• ISSN: 0262-8856; 1872-8138
• DOI: 10.1016/j.imavis.2018.06.001

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. •Brand-new application of Video fingerprinting to record illegal capture location•Base frames selection algorithm using Hashing to get temporal frame alignments.•Stable key-point pairs selection algorithm to extract most similar key point pairs•First attempt using visual-audio features to estimate pirate position in a theater•In-theater experiments estimate positions with a MAE of (38.25, 22.45, 11.11) cm.