Author: Torres,A.; Demanboro A.C.
Abstract
With the event of the Internet, video and image files are widely shared and consumed by users from all over the world. Recent studies point out that one out of two internet users have engaged in activities classified as illicit. Unauthorized copy, distribution or publishing of digital content without the proper rights holder consent is what is commonly called piracy. Those that profit from digital piracy ignore the intellectual property laws and copyrights from the owners, programmers, distributors and many others that live and depend on the economic value of these assets. Methods to identify these files have emerged to preserve intellectual and commercial rights such as content-based identification techniques also known as perceptual hashing. With said techniques a unique identifier is generated making possible to compare two images or videos and decide if they are equal, similar or different. This article has as objective to discuss the application of content-based identification technologies as a method to fight piracy, presenting a framework where perceptual hashing can be used to prevent publishing and/or distribution of video content. The methodology proposed is to combine four types of perceptual hash (ahash, dhash, phash, whash) to make it possible to identify illegal videos with more accuracy. The results are encouraging, considering the most common forms of attacks.
Index Terms: Content-Based Identification, Piracy, Security, Intellectual Property
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