Int J Comput Vis Image Understand 110(3):346–359īelongie S, Malik J, Puzicha J (2002) Shape matching and object recognition using shape contexts.

In: Proceedings of the international acm workshop on multimedia in forensics, security and intelligence (MiFor 2010), in conjunction with international acm multimedia conference, pp 65–70īay H, Ess A, Tuytelaars T, Van Gool L (2008) Speeded-up robust features (SURF). IEEE Trans Inf Forensics Secur 7(4):1105–1117īattiato S, Farinella GM, Guarnera GC, Meccio T, Puglisi G, Ravì D, Rizzo R (2010) Bags of phrases with codebooks alignment for near duplicate image detection. doi: 10.1155/2010/919367īattiato S, Farinella GM, Messina E, Puglisi G (2012) Robust image alignment for tampering detection. EURASIP J Image Video Process Article ID 919367:1–13. Experiments show the effectiveness of the proposed near duplicate retrieval technique, which outperforms the original Bags of Visual Phrases approach.īattiato S, Farinella GM, Gallo G, Ravì D (2010) Exploiting textons distributions on spatial hierarchy for scene classification. Finally, we suggest a method to compress the proposed image representation for storage purposes. The dataset has a huge variability in terms of geometric and photometric transformations between scenes and their corresponding near duplicates. The dataset consists of more than 3,300 images depicting more than 500 different scenes having at least three real near duplicates. Also we introduce a novel image database specifically designed for the development and benchmarking of near duplicate image retrieval techniques. In this paper we propose to further improve the Bags of Visual Phrases approach considering the coherence between feature spaces not only at the level of image representation, but also during the codebook generation phase. Recently, this paradigm has been augmented by using multiple descriptors (e.g., Bags of Visual Phrases) in order to exploit the coherence between different feature spaces. In the last few years, different image hashing techniques based on the Bags of Visual Features paradigm appeared in literature. In digital investigation, hashing techniques are commonly used to index large quantities of images for the detection of copies belonging to different archives. The detection of near duplicate images in large databases, such as the ones of popular social networks, digital investigation archives, and surveillance systems, is an important task for a number of image forensics applications.

Inverse duplicate detector