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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)
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)
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)