A survey of image registration techniques
ACM Computing Surveys (CSUR)
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
High-dimensional descriptor indexing for large multimedia databases
Proceedings of the 17th ACM conference on Information and knowledge management
Internet image archaeology: automatically tracing the manipulation history of photographs on the web
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Device temporal forensics: an information theoretic approach
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Video genetics: a case study from YouTube
Proceedings of the international conference on Multimedia
Vision of the unseen: Current trends and challenges in digital image and video forensics
ACM Computing Surveys (CSUR)
Efficient similarity joins for near-duplicate detection
ACM Transactions on Database Systems (TODS)
BASIL: effective near-duplicate image detection using gene sequence alignment
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Content-Based Copy Retrieval Using Distortion-Based Probabilistic Similarity Search
IEEE Transactions on Multimedia
Identification of bitmap compression history: JPEG detection and quantizer estimation
IEEE Transactions on Image Processing
Video Phylogeny: Recovering near-duplicate video relationships
WIFS '11 Proceedings of the 2011 IEEE International Workshop on Information Forensics and Security
Near-duplicate video retrieval: Current research and future trends
ACM Computing Surveys (CSUR)
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Currently, multimedia objects can be easily created, stored, (re)-transmitted, and edited for good or bad. In this sense, there has been an increasing interest in finding the structure of temporal evolution within a set of documents and how documents are related to one another overtime. This process, also known in the literature as Multimedia Phylogeny, aims at finding the phylogeny tree(s) that best explains the creation process of a set of near-duplicate documents (e.g., images/videos) and their ancestry relationships. Solutions to this problem have direct applications in forensics, security, copyright enforcement, news tracking services and other areas. In this paper, we explore one heuristic and one optimum branching algorithm for reconstructing the evolutionary tree associated with a set of image documents. This can be useful for aiding experts to track the source of child pornography image broadcasting or the chain of image distribution in time, for instance. We compare the algorithms with the state-of-the-art solution considering 350,000 test cases and discuss advantages and disadvantages of each one in a real scenario.