Collusion and rotation resilient video hashing based on scale invariant feature transform

ABSTRACT

Due to the rapid growth of the Internet, a major issue arises in indexing, retrieval, authentication and verification of multimedia data. Copyright protection is one of the issues that arises due to advancement of digital communication. Perceptual video hashing gives an efficient and effective solution for indexing, retrieving, verifying the authenticity and integrity of a video. A video hashing technique extracts some features of the video to form a compact vector that will uniquely identify the video. A perceptual video hash function is proposed based on Scale Invariant Feature Transform (SIFT) and Singular Value Decomposition (SVD). The experimental result shows that the proposed method is robust against common signal and image processing attacks.

KEYWORDS:

• Perceptual video hashing
• SIFT
• SVD
• copyright protection
• robust rotation