Ecole d'ingénieur et centre de recherche en télécommunications

Seminar: Saliency Moments for Image Categorization

Miriam REDI - PhD student

Communications Multimédia

Date: 14 avril 2011

Lieu: Eurecom - salle EN05

In this presentation we present Saliency Moments, a new, holistic descriptor for image recognition inspired by two biological vision principles: the gist perception and the selective visual attention. While traditional image features extract either local or global discriminative properties from the visual content, we use a hybrid approach that exploits some coarsely localized information, i.e. the salient regions shape and contours, to build a global, low-dimensional image signature. Results show that this new type of image description out performs the traditional global features on scene and object categorization, for a variety of challenging datasets. Moreover, we show that, when combined with other existing descriptors (SIFT, Color Moments, Wavelet Feature and Edge Histogram), the saliency-based features provide complementary information, improving the precision of a retrieval system we built for the TRECVID 2010 dataset.

Saliency Moments for Image Categorization

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