- Murat Kunt is a swiss scientist from turkish origin. He was born in Ankara on 16 January 1945. He is known for his r... moreMurat Kunt is a swiss scientist from turkish origin. He was born in Ankara on 16 January 1945. He is known for his research and teaching in the general area of Digital Signal Processing and Image and Video Processing in particular. He is the author of more than 240 publications, 16 books and 16 patents. He played a pioneering role in digital image and video compression. Among 75 Ph.D. students he supervised, 20 are already university professors.
He graduated in 1963 from Galatasaray, a legendary high-school in Istanbul. He then moved to Switzerland and studied at the Swiss Federal Institute of Technology (EPFL) in Lausanne and obtained his Ms. Degree in high-energy physics in 1968. He worked for his Ph.D on facsimile image compression in the same Institute. In 1974 he moved to the United States and worked as a Research Associate at the Massachusetts Institute of Technology (MIT). He returned to Lausanne at EPFL where he became a Professor in 1980 and directed the Signal Processing Laboratory (one of the largest laboratory) of EPFL from 1989 to his retirement in 2008.
He lectured in several universities in Europe and in the world, in particular at MIT, at the University of Southern California (USC) and at University of California at Berkeley (sabbatical). His first book Traitement numérique des signaux (1980) is one the reference books of area and has been translated in several languages including english.
In 1978 M. Kunt created the first scientific journal on signal processing – entitled Signal Processing - and worked as its Editor-in-Chief till 2006. In parallel with the journal, he founded the European Association for Signal Processing (EURASIP). In 2006 he created the new journal Signal, Image and Video Processing as its Editor-in-Chief till 2013.
He served as a chairman and/or a member of the Scientific Committees of several international conferences and on the editorial boards of the Proceedings of the IEEE, Pattern Recognition Letters and Traitement du Signal. He was the co-chairman of the first European Signal Processing Conference (EUSIPCO) held in Lausanne in 1980 and the general chairman of the International Conference on Image Processing (ICIP'96) held in Lausanne in 1996. He was the President of the Swiss Association for Pattern Recognition from its creation until 1997. He consults for governmental offices including the French General Assembly.
His achievements have been world wide recognized as witnessed by the numerous awards he received. In 1986 he became a « Fellow » of the Institute of Electrical and Electronics Engineers (IEEE). This has been followed by the gold medal of EURASIP for meritorious services in 1983, the IEEE ASSP technical achievement award in 1996, the IEEE Third millennium Medal in 2000, an honorary doctorate from the Catholic University of Leuven in 2001, the technical achievement award of EURASIP and the imaging scientist of the year award of the IS&T and SPIE in 2003.
Several spin-off’s came out of his laboratory including Alpvision , Fastcom Technologies, Visiowave, Pixartis and Spinetix.
In addition to his scientific activities, he publishes regularly his opinion in the daily newspapers and weekly journals.edit
Keywords: LTS1 Reference LTS-CONF-1992-007 Record created on 2006-10-27, modified on 2016-08-08
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ABSTRACT
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Research Interests: Computer Science, Artificial Intelligence, Computer Vision, Signal Processing, Video Coding, and 12 moreImage segmentation, Parameter estimation, Motion estimation, Motion compensation, Segmentation, Redundancy, High performance, Layout, Linear Regression, Affine Transformation, Global Motion Estimation, and Block Matching Algorithm
The problem of easily implementable filter bank design for subband coding is discussed. A technique is proposed to generate filter banks with coefficients in powers-of-two and with maximum localization. The hierarchical structure of the... more
The problem of easily implementable filter bank design for subband coding is discussed. A technique is proposed to generate filter banks with coefficients in powers-of-two and with maximum localization. The hierarchical structure of the filter bank is then used to eliminate the temporal redundancies by using a multiresolution motion estimation technique. Simulations show a robust estimation of the motion field with a relatively simple implementation.
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Research Interests: Computer Science, Artificial Intelligence, Computer Vision, Image segmentation, Tracking, and 11 moreSegmentation, Object Tracking, Spatial Information, Feature Extraction, Temporal Information Extraction, Layout, Video Tracking, Moving Object Recognition, Image Sequence, Correspondence Problem, and Moving object
ABSTRACT Support for evolutionary design approaches is not a very much investigated topic in the automation domain. Advanced facilities for semantic validation, refactoring and model transformations, which are necessary for rapid... more
ABSTRACT Support for evolutionary design approaches is not a very much investigated topic in the automation domain. Advanced facilities for semantic validation, refactoring and model transformations, which are necessary for rapid prototyping of control applications, are seldom found in design tools. Implementing such facilities is even more difficult when using the IEC 61499 standard, through some characteristics of the persistence model. This paper presents a specialized development environment for modelling and automatically generating applications for the industrial automation field, its unique facilities for supporting evolutionary design and the suggested improvements to the IEC 61499 model. This environment was developed inside a project for assessing the IEC 61499 principles and for verifying design approaches and execution models on a real plant.
Research Interests: Engineering, Computer Science, Software Engineering, Systems Engineering, Industrial Automation, and 10 moreRapid Prototyping, Model Transformation, Automation, Control Application, Design Tool, Environment and Development, Code Refactoring, Domain Specificity, Automatic code generation, and Evolutionary design
Copyright in the material you requested is held by SPIE (unless otherwise noted). This email ability is provided as a courtesy, and by using it you agree that you are requesting the material solely for personal, non-comercial use, and... more
Copyright in the material you requested is held by SPIE (unless otherwise noted). This email ability is provided as a courtesy, and by using it you agree that you are requesting the material solely for personal, non-comercial use, and that it is subject to SPIE's Terms of Use. The information provided in order to email this topic will not be used to send unsolicited email, nor will it be furnished to third parties. Please refer to SPIE's Privacy Policy for further information. ... Dufaux F, Moccagatta I, Rouchouze B, Ebrahimi T, Kunt M; Motion-compensated generic coding of video based ...
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This paper addresses the issue of testing and quality assessment of motion rendition in digital video coding. Motion estimation and compensation are critical modules in video coders, as they are the most demanding resources and largely... more
This paper addresses the issue of testing and quality assessment of motion rendition in digital video coding. Motion estimation and compensation are critical modules in video coders, as they are the most demanding resources and largely account for the visual quality of the resulting compressed stream. The testing of such modules is thus very important. A computational metric, based on
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The use of the discrete wavelet transform (DWT) for embedded lossy image compression is now well established. One of the possible implementations of the DWT is the lifting scheme (LS). Because perfect reconstruction is granted by the... more
The use of the discrete wavelet transform (DWT) for embedded lossy image compression is now well established. One of the possible implementations of the DWT is the lifting scheme (LS). Because perfect reconstruction is granted by the structure of the LS, nonlinear transforms can be used, allowing efficient lossless compression as well. The integer wavelet transform (IWT) is one of them. This is an interesting alternative to the DWT because its rate-distortion performance is similar and the differences can be predicted. This topic is investigated in a theoretical framework. A model of the degradations caused by the use of the IWT instead of the DWT for lossy compression is presented. The rounding operations are modeled as additive noise. The noise are then propagated through the LS structure to measure their impact on the reconstructed pixels. This methodology is verified using simulations with random noise as input. It predicts accurately the results obtained using images compressed...
Research Interests: Cognitive Science, Mathematics, Computer Science, Image Processing, Data Compression, and 15 moreMedicine, Algorithm, Image compression, Image Reconstruction, Degradation, Lossy Compression, Lossless Image Compression, Discrete wavelet transform, Noise Measurement, Discrete Wavelet Transforms, Electrical And Electronic Engineering, Lossless Compression, Additive noise, Linear Transformation, and Lifting Scheme
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Keywords: LTS1 Reference LTS-CONF-1992-009 Record created on 2006-10-27, modified on 2016-08-08
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The main objective of this chapter is to present the underlying concepts in second generation video coding. It is also intended as a broad introduction to the rest of the chapters of this book. Video coding results of two approaches in... more
The main objective of this chapter is to present the underlying concepts in second generation video coding. It is also intended as a broad introduction to the rest of the chapters of this book. Video coding results of two approaches in the context of segmentation-based video coding schemes are also presented. The chapter ends with conclusions and new trends in the field. A basic introduction to the main characteristics and limitations of first generation coding will be also presented in order to have a self-contained chapter. This chapter is mainly intended for newcomers to the field of second generation video coding. More experienced readers may wish to go directly to specific chapters.
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Pedestrian detection in the surroundings of a vehicle is highly desirable to avoid dangerous traffic situations. Typical vision-based pedestrian detection algorithms on mobile cameras suffer from the lack of a-priori knowledge on the... more
Pedestrian detection in the surroundings of a vehicle is highly desirable to avoid dangerous traffic situations. Typical vision-based pedestrian detection algorithms on mobile cameras suffer from the lack of a-priori knowledge on the object to be detected. The variability in the shape, pose, color distribution, and behavior affect the robustness of the detection process. A novel vision-based system is proposed to detect pedestrians with a single mobile camera collaborating with a fixed camera observing the same scene. Nowadays, a large number of fixed cameras are installed in major cities. This work presents how features extracted from those fixed cameras can be used to detect pedestrians with mobile cameras present in the same scene. The proposed system outperforms state-of-the-art single frame pedestrian detectors using a feature-based classification framework. In addition, the system can be generalized to any object of interest. Any object detected by a fixed camera, can be detec...
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This paper studies quantization error in the context of Matc hing Pursuit coded streams. The quantization noise is shown to depend on error on both coefficients and indexes. I t i moreover influenced by the redundancy of the Matching... more
This paper studies quantization error in the context of Matc hing Pursuit coded streams. The quantization noise is shown to depend on error on both coefficients and indexes. I t i moreover influenced by the redundancy of the Matching Pursuit dictionary. A novel general formulation o f the structural redundancy in overcomplete decompositions is shown to enhance the accuracy of classical redund ancy factors. The redundancy factor drives the decay of Matching Pursuit coefficients energy and is therefore use d to design an optimal a posterioriquantization scheme for multi-resolution Matching Pursuit coding. This expone ntially upper-bounded quantization of Matching Pursuit coefficients clearly outperforms uniform quantization sch emes in the practical case of image coding. The atom selection error is then studied for structured dictionarie s and more particularly dictionaries built upon common Gabor functions. This analysis is used to quantify the error in the case of a simple scalar qu...
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Experimental evaluation framework for