Search Results - "Figueras i Ventura, R.M."

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  1. 1

    A posteriori quantization of progressive matching pursuit streams by Frossard, P., Vandergheynst, P., Figueras i Ventura, R.M., Kunt, M.

    Published in IEEE transactions on signal processing (01-02-2004)
    “…This paper proposes a rate-distortion optimal a posteriori quantization scheme for matching pursuit (MP) coefficients. The a posteriori quantization applies to…”
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    Journal Article
  2. 2

    Geometric Video Approximation Using Weighted Matching Pursuit by Escoda, O.D., Monaci, G., Figueras i Ventura, R.M., Vandergheynst, P., Bierlaire, M.

    Published in IEEE transactions on image processing (01-08-2009)
    “…In recent years, works on geometric multidimensional signal representations have established a close relation with signal expansions on redundant dictionaries…”
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    Journal Article
  3. 3

    Low-rate and flexible image coding with redundant representations by Figueras i Ventura, R.M, Vandergheynst, P., Frossard, P.

    Published in IEEE transactions on image processing (01-03-2006)
    “…New breakthroughs in image coding possibly lie in signal decomposition through nonseparable basis functions that can efficiently capture edge characteristics,…”
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    Journal Article
  4. 4
  5. 5

    A simple test to check the optimality of a sparse signal approximation by Gribonval, R., Figueras i Ventura, R.M., Vandergheynst, P.

    Published in Signal processing (01-03-2006)
    “…Approximating a signal or an image with a sparse linear expansion from an overcomplete dictionary of atoms is an extremely useful tool to solve many signal…”
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    Journal Article
  6. 6

    Statistically Driven Sparse Image Approximation by Figueras i Ventura, R.M., Simoncelli, E.P.

    “…Finding the sparsest approximation of an image as a sum of basis functions drawn from a redundant dictionary is an NP-hard problem. In the case of a dictionary…”
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    Conference Proceeding
  7. 7

    Contextually adaptive signal representation using conditional principal component analysis by Figueras i Ventura, R.M., Rajashekar, U., Zhou Wang, Simoncelli, E.P.

    “…The conventional method of generating a basis that is optimally adapted (in MSE) for representation of an ensemble of signals is principal component analysis…”
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    Conference Proceeding
  8. 8

    A simple test to check the optimality of sparse signal approximations by Gribonval, R., Figueras i Ventura, R.M., Vandergheynst, P.

    “…Approximating a signal or an image with a sparse linear expansion from an overcomplete dictionary of atoms is an extremely useful tool to solve many signal…”
    Get full text
    Conference Proceeding
  9. 9

    Color image scalable coding with matching pursuit by Figueras i Ventura, R.M., Vandergheynst, P., Frossard, P., Cavallaro, A.

    “…The paper presents a new scalable and highly flexible color image coder based on a matching pursuit expansion. The matching pursuit algorithm provides an…”
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    Conference Proceeding
  10. 10

    MPEG-7 camera by Ebrahimi, T., Abdeljaoued, Y., Figueras i Ventura, R.M., Divorra_Escoda, O.

    “…An MPEG-7 camera extends the capabilities of conventional cameras by analyzing its scene in order to generate a content-based description according to the…”
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    Conference Proceeding
  11. 11

    R-D analysis of adaptive edge representations by Figueras i Ventura, R.M., Granai, L., Vandergheynst, P.

    “…This paper presents a rate-distortion analysis for a simple horizon edge image model. A quadtree with anisotropy and rotation is performed on this kind of…”
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    Conference Proceeding