Beatrice Pesquet-Popescu spends much of her time researching Computer vision, Artificial intelligence, Algorithm, Motion estimation and Wavelet. Many of her studies on Computer vision involve topics that are commonly interrelated, such as Decoding methods. Her studies in Algorithm integrate themes in fields like Sub-band coding, Wavelet transform and Decision rule.
The various areas that Beatrice Pesquet-Popescu examines in her Wavelet transform study include Transform coding, Bitstream and Rate–distortion theory. Her Motion estimation research includes themes of Motion vector, Reference frame and Wavelet decomposition. Beatrice Pesquet-Popescu has included themes like Macroblock, Data compression, Theoretical computer science and Distortion minimization in her Wavelet study.
Artificial intelligence, Computer vision, Algorithm, Wavelet and Decoding methods are her primary areas of study. Her work carried out in the field of Artificial intelligence brings together such families of science as Coding tree unit and Pattern recognition. She regularly ties together related areas like Codec in her Computer vision studies.
The Algorithm study combines topics in areas such as Theoretical computer science, Filter bank and Communication channel. Her Wavelet research integrates issues from Mathematical optimization and Filter. The concepts of her Decoding methods study are interwoven with issues in Discrete cosine transform, Encoding and Interpolation.
Her primary areas of investigation include Artificial intelligence, Computer vision, Convex optimization, Multiview Video Coding and Data compression. Her Artificial intelligence research is multidisciplinary, incorporating elements of Codec and Pattern recognition. Her research in Computer vision intersects with topics in Decoding methods, Encoding and Holography.
Her Decoding methods research entails a greater understanding of Algorithm. Her Data compression study incorporates themes from Augmented reality, Image compression and Wavelet, Wavelet transform. Her Motion compensation research is multidisciplinary, incorporating perspectives in Motion estimation and Block-matching algorithm.
Beatrice Pesquet-Popescu mainly investigates Computer vision, Artificial intelligence, Coding tree unit, Data compression and Holography. Her Computer vision study integrates concerns from other disciplines, such as Decoding methods and Intra mode. Her Artificial intelligence research is multidisciplinary, relying on both Average bitrate and Speedup.
Her Coding tree unit study also includes
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Three-dimensional lifting schemes for motion compensated video compression
B. Pesquet-Popescu;V. Bottreau.
international conference on acoustics, speech, and signal processing (2001)
RD Optimized Coding for Motion Vector Predictor Selection
Guillaume Laroche;Joel Jung;Beatrice Pesquet-Popescu.
IEEE Transactions on Circuits and Systems for Video Technology (2008)
Stochastic fractal models for image processing
B. Pesquet-Popescu;J.L. Vehel.
IEEE Signal Processing Magazine (2002)
Encoding method for the compression of a video sequence
Boris Felts;Beatrice Pesquet-Popescu;Vincent Bottreau.
Depth-aided image inpainting for novel view synthesis
Ismael Daribo;Beatrice Pesquet-Popescu.
multimedia signal processing (2010)
Building nonredundant adaptive wavelets by update lifting
Henk J.A.M. Heijmans;Béatrice Pesquet-Popescu;Gemma Piella.
Applied and Computational Harmonic Analysis (2005)
A new image distortion measure based on wavelet decomposition
A. Beghdadi;B. Pesquet-Popescu.
information sciences signal processing and their applications (2003)
A fully scalable 3D subband video codec
V. Bottreau;M. Benetiere;B. Felts;B. Pesquet-Popescu.
international conference on image processing (2001)
Adaptive update lifting with a decision rule based on derivative filters
G. Piella;B. Pesquet-Popescu;H. Heijmans.
IEEE Signal Processing Letters (2002)
Motion vector sharing and bitrate allocation for 3D video-plus-depth coding
Ismaël Daribo;Christophe Tillier;Béatrice Pesquet-Popescu.
EURASIP Journal on Advances in Signal Processing (2009)
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