Searching for authors named "Faouzi Kossentini" – sorted by Relevance.
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Outline
- Low Bit Rate H.263 + Video Coding: Efficiency, Scalability and Error Resilience Faouzi Kossentini
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Efficient FANN-Based Subsampling of Images
- This paper introduces a fast and high performance subsampling method using feedforward neural networks. Experimental results using still images are evaluated subjectively and objectively. The results show that our method outperforms, in all cases taken into account, the standard lowpass #ltering a
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Retrieval Of Video Objects By Compressed Domain Shape Features
- . In Sections 4 and 5, some experimental results and conclusions are presented. Berna Erol and Faouzi Kossentini
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Local Motion Descriptors
- LOCAL MOTION DESCRIPTORS Berna Erol and Faouzi Kossentini Department of Electrical and Computer
- Cited by 5 (0 self) – Add To MetaCart
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Efficient Scalable Dct-Based Video Coding At Low Bit Rates
- of Universities and Colleges of Canada. Michael Gallant and Faouzi Kossentini Department of Electrical
- Cited by 2 (0 self) – Add To MetaCart
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Automatic Key Video Object Plane Selection Using the Shape Information in the MPEG-4 Compressed Domain
- Domain # Berna Erol and Faouzi Kossentini * Department of Electrical and Computer Engineering, University
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Fast and High Performance Image Subsampling Using Feedforward Neural Networks
- and Faouzi Kossentini Department of Electrical and Computer Engineering, University of British Columbia, 2356
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Feedforward Neural Network Design with Tridiagonal Symmetry Constraints
- Network Design with Tridiagonal Symmetry Constraints Adriana Dumitras and Faouzi Kossentini Department
- Cited by 1 (1 self) – Add To MetaCart
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Partitioning of Video Objects into Temporal Segments Using Local Motion Information
- and Faouzi Kossentini Department of Electrical and Computer Engineering University of British Columbia 2356
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Shape-based retrieval of video objects
- Shape-based Retrieval of Video Objects Berna Erol Faouzi Kossentini Ricoh California Research
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