Search Results - "de Vleeschouwer, C"

Circular interpretation of bijective transformations in lossless watermarking for media asset management by De Vleeschouwer, C., Delaigle, J.-F., Macq, B.

“…The need for reversible or lossless watermarking methods has been highlighted in the literature to associate subliminal management information with losslessly…”
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Invisibility and application functionalities in perceptual watermarking an overview by De Vleeschouwer, C., Delaigle, J.-F., Macq, B.

“…Digital watermarking consists of hiding subliminal information into digital media content, also called host data. It can be the basis of many applications,…”
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Consistent Basis Pursuit for Signal and Matrix Estimates in Quantized Compressed Sensing by Moshtaghpour, A., Jacques, L., Cambareri, V., Degraux, K., De Vleeschouwer, C.

“…This letter focuses on the estimation of low-complexity signals when they are observed through M uniformly quantized compressive observations. Among such…”
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Robust video hashing based on radial projections of key frames by De Roover, C., De Vleeschouwer, C., Lefebvre, F., Macq, B.

“…Robust signal hashing defines a feature vector that characterizes the signal, independently of "nonsignificant" distortions of its content. When dealing with…”
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Piecewise-Planar 3D Approximation from Wide-Baseline Stereo by Verleysen, C., De Vleeschouwer, C.

“…This paper approximates the 3D geometry of a scene by a small number of 3D planes. The method is especially suited to man-made scenes, and only requires two…”
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Subband dictionaries for low-cost matching pursuits of video residues by De Vleeschouwer, C., Macq, B.

“…"Matching pursuits" is a signal expansion technique whose efficiency for video coding has already been largely demonstrated in the MPEG-4 framework. In this…”
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Current practice in approaching controversial diagnostic and therapeutic topics in gastroenteropancreatic neuroendocrine neoplasm management. Belgian multidisciplinary expert discussion based on a modified Delphi method by Cuyle, P-J, Geboes, K, Carton, S, Casneuf, V, Decaestecker, J, De Man, M, Demolin, G, Deroose, C M, De Vleeschouwer, C, Flamen, P, Hendlisz, A, Hoorens, A, Janssens, J, Karfis, I, Lybaert, W, Machiels, G, Monsaert, E, Sinapi, I, Van Cutsem, E, Vandamme, T, Borbath, I, Verslype, C

“…Neuroendocrine neoplasms (NENs) are relatively rare, with marked clinical and biological heterogeneity. Consequently, many controversial areas remain in…”
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A Geometrical Study of Matching Pursuit Parametrization by Jacques, L., De Vleeschouwer, C.

“…This paper studies the effect of discretizing the parametrization of a dictionary used for matching pursuit (MP) decompositions of signals. Our approach relies…”
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Heterogenous void growth revealed by in situ 3-D X-ray microtomography using automatic cavity tracking by Lecarme, L., Maire, E., Kumar K.C., A., De Vleeschouwer, C., Jacques, L., Simar, A., Pardoen, T.

“…Ductile fracture by nucleation, growth and coalescence of internal voids is the dominant fracture mechanism in metals at ambient temperature…”
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Mitigating memory requirements for random trees/ferns by De Vleeschouwer, C., Legrand, A., Jacques, L., Hebert, Martial

“…Randomized sets of binary tests have appeared to be quite effective in solving a variety of image processing and vision problems. The exponential growth of…”
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Prefetching and Caching Strategies for Remote and Interactive Browsing of JPEG2000 Images by Descampe, A., De Vleeschouwer, C., Iregui, M., Macq, B., Marques, F.

“…This paper considers the issues of scheduling and caching JPEG2000 data in client/server interactive browsing applications, under memory and channel bandwidth…”
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Dependent Packet Transmission Policies in Rate-Distortion Optimized Media Scheduling by De Vleeschouwer, C., Frossard, P.

“…This paper addresses the problem of streaming packetized media over a lossy packet network, with sender-driven (re)transmissions and receiver acknowledgements…”
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Watermarking algorithm based on a human visual model by Delaigle, J.F, De Vleeschouwer, C, Macq, B

“…This paper presents an additive watermarking technique for grey-scale pictures. It consists in secretly embedding copyright information (a binary code) into…”
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Model-based rate control implementation for low-power video communications systems by De Vleeschouwer, C.

“…This paper focuses on a major requirement of rate control (RC) algorithms when implementing a low-power video coding system: RC must be compatible with a…”
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Remote Interactive Browsing of Video Surveillance Content Based on JPEG 2000 by Devaux, F.-O., Meessen, J., Parisot, C., Delaigle, J.-F., Macq, B., De Vleeschouwer, C.

“…In video surveillance applications, pre-stored images are likely to be accessed remotely and interactively upon user request. In such a context, the JPEG 2000…”
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Receiver-driven bandwidth sharing for TCP and its application to video streaming by Mehra, P., De Vleeschouwer, C., Zakhor, A.

“…Applications using Transmission Control Protocol (TCP), such as web-browsers, ftp, and various peer-to-peer (P2P) programs, dominate most of the Internet…”
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In-loop atom modulus quantization for matching pursuit and its application to video coding by De Vleeschouwer, C., Zakhor, A.

“…This paper provides a precise analytical study of the selection and modulus quantization of matching pursuit (MP) coefficients. We demonstrate that an optimal…”
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Using Pure Pollen Species When Training a CNN to Segment Pollen Mixtures by Yang, Nana, Joos, Victor, Jacquemart, A -L, Buyens, Christel, De Vleeschouwer, C.

“…Recognizing the types of pollen grains and estimating their proportion in pollen mixture samples collected in a specific geographical area is important for…”
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Memory centric design of an MPEG-4 video encoder by Denolf, K., De Vleeschouwer, C., Turney, R., Lafruit, G., Bormans, J.

“…The cost-efficient implementation of video codecs requires a set of methodologies and decision taking at different levels in the design flow. We combine…”
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Algorithmic and architectural co-design of a motion-estimation engine for low-power video devices by De Vleeschouwer, C., Nilsson, T., Denolf, K., Bormans, J.

“…Due to the large amount of data transfers it involves, the motion estimation (ME) engine is one of the most power-consuming components of any predictive video…”
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