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This paper presents a new compression technique for 3D dynamic meshes, referred to as FAMC-Frame-based Animated Mesh Compression, recently promoted within the MPEG-4 standard as Amendement 2 of part 16 AFX (Animation Framework eXtension). The heart of the method is a skinning model optimally computed from a frame-based representation and exploited for(More)
This paper proposes a novel approach for 3D mesh compression, based on a skinning animation technique. The core of the proposed method is a piecewise affine pre-dictor coupled with a skinning model and a DCT representation of the residuals errors. The experimental evaluation shows that the proposed skinning-based encoder outper-forms (with bitrates gains(More)
This paper proposes a novel approach for mono-resolution 3D mesh compression, called TFAN (Triangle Fan-based compression). TFAN treats in a unified manner meshes of arbitrary topologies, i.e., manifold or not, oriented or not, while offering a linear computational complexity (with respect to the number of mesh vertices) for both encoding and decoding(More)
In this paper, we describe our approach and its results as part of the MediaEval 2013 Retrieving Diverse Social Images Task evaluation. We illustrate a content-based technique relying on a single type of visual descriptors that makes it possible to identify groups of similar instances of a given landmark and select the most representative images from each(More)
This paper proposes a comparative study of 3D and 2D/3D shape descriptors (SDs) for of 3D mesh model indexing and retrieval. Seven state of the art SDs are considered and compared, among which five are 3D (Optimized 3D Hough Descriptor-O3DHTD, Extended Gaussian Images-EGIs, cords length and spherical angles histograms, random triangles histogram, MPEG-7 3D(More)
Various nonlinear, fixed-neighborhood techniques based on local statistics have been proposed in the literature for filtering noise in color images. We present adaptive-neighborhood filtering (ANF) techniques for noise removal in color images. The main idea is to find for each pixel (called the " seed " when being processed) a variable-shaped,(More)