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681.5 --- filters --- transforms --- controlesystemen --- Automatic control engineering. Control systems, techniques, equipment. Cybernetic and automation technology --- 681.5 Automatic control engineering. Control systems, techniques, equipment. Cybernetic and automation technology --- Image processing --- Digital filters (Mathematics) --- Traitement d'images --- Filtres numériques (mathématiques) --- Filtres numériques (Mathématiques) --- Filtres numériques (Mathématiques) --- Traitement d'images. --- Filtres numériques (mathématiques)
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Deep Learning through Sparse Representation and Low-Rank Modeling bridges classical sparse and low rank models—those that emphasize problem-specific Interpretability—with recent deep network models that have enabled a larger learning capacity and better utilization of Big Data. It shows how the toolkit of deep learning is closely tied with the sparse/low rank methods and algorithms, providing a rich variety of theoretical and analytic tools to guide the design and interpretation of deep learning models. The development of the theory and models is supported by a wide variety of applications in computer vision, machine learning, signal processing, and data mining. This book will be highly useful for researchers, graduate students and practitioners working in the fields of computer vision, machine learning, signal processing, optimization and statistics. Combines classical sparse and low-rank models and algorithms with the latest advances in deep learning networks Shows how the structure and algorithms of sparse and low-rank methods improves the performance and interpretability of Deep Learning models Provides tactics on how to build and apply customized deep learning models for various applications
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Human-Computer Interaction (HCI) lies at the crossroads of many scienti?c areas including arti?cial intelligence, computer vision, face recognition, motion tracking, etc. In order for HCI systems to interact seamlessly with people, they need to understand their environment through vision and auditory input. Mo- over, HCI systems should learn how to adaptively respond depending on the situation. The goal of this workshop was to bring together researchers from the ?eld of computer vision whose work is related to human-computer interaction. The selected articles for this workshop address a wide range of theoretical and - plication issues in human-computer interaction ranging from human-robot - teraction, gesture recognition, and body tracking, to facial features analysis and human-computer interaction systems. This year 74 papers from 18 countries were submitted and 22 were accepted for presentation at the workshop after being reviewed by at least 3 members of the Program Committee. We had therefore a very competitive acceptance rate of less than 30% and as a consequence we had a very-high-quality workshop. Wewouldliketo thankallmembersofthe ProgramCommitteefor their help in ensuring the quality of the papers accepted for publication. We are grateful to Dr. Jian Wang for giving the keynote address. In addition, we wish to thank the organizers of the 10th IEEE International Conference on Computer Vision and our sponsors, University of Amsterdam, Leiden Institute of Advanced Computer Science, and the University of Illinois at Urbana-Champaign, for support in setting up our workshop.
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As computers become prevalent in all aspects of daily life, the need for natural and effective Human-Computer Interaction (HCI) becomes increasingly important. Computer vision and pattern recognition continue to play a dominant role in the HCI realm. However, computer vision methods often fail to become pervasive in the field due to the lack of real-time, robust algorithms, as well as novel and convincing applications. This state-of-the-art contributed volume presents a series of peer-reviewed survey articles written by international leading experts in computer vision, pattern recognition and Human-Computer Interaction. It is the first published text capturing the latest research in this rapidly advancing field with exclusive focus on real-time algorithms and practical applications in numerous industries, including computer games and medical and automotive systems. It is also an excellent starting point for further research in these areas. Contributions to this volume address specific topics such as: Real-Time Algorithms: from Signal Processing to Computer Vision Recognition of Isolated Fingerspelling Gestures Using Depth Edges Appearance-Based Real-Time Understanding of Gestures Using Projected Euler Angles Flocks of Features for Tracking Articulated Objects Static Hand Posture Recognition Based on Okapi-Chamfer Matching Visual Modeling of Dynamic Gestures Using 3D Appearance and Motion Features Head and Facial Animation Tracking Using Appearance-Adaptive Models and Particle Filters A Real-Time Vision Interface Based on Gaze Detection - Eyekeys Map Building From Human-Computer Interactions Real-Time Inference of Complex Mental States from Facial Expressions and Head Gestures Epipolar Constrained User Pushbutton Selection in Projected Interfaces Vision-Based HCI Applications The Office of the Past MPEG-4 Face and Body Animation Coding Applied to HCI Multimodal Human-Computer Interaction Real-Time Vision for Human-Computer Interaction is an invaluable reference for HCI researchers in both academia and industry, and a useful supplement for advanced-level courses in HCI and Computer Vision.
Mathematical statistics --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- patroonherkenning --- factoranalyse --- grafische vormgeving --- informatica --- robots
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This volume of original papers has been assembled to honor the achievements of Professor Thomas S Huang in the area of image processing and image analysis. Professor Huang's life of inquiry has spanned a number of decades as his work on imaging problems began in 1960's. Over these 40 years, he has made many fundamental and pioneering contributions to nearly every area of this field. Professor Huang has received numerous Awards, including the prestigious Jack Kilby Signal Processing Medal from IEEE. He has been elected to the National Academy of Engineering, and named Fellow of IEEE, Fellow of
Image processing --- Imaging systems. --- Computer vision. --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Radar --- Remote sensing --- Television --- Scanning systems --- Digital image processing --- Digital electronics --- Digital techniques. --- Equipment and supplies
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Welcome to the 4th IEEE InternationalWorkshopon Human - Computer Int- action, HCI 2007. Human - computer interaction (HCI) is one of the foremost challengesofoursociety.Newparadigmsforinteractingwithcomputersarebeing developedthatwill de?ne the 21stcenturyandenable the worldtocommunicate and interact e?ortlessly and intuitively. The goal of this workshop is to bring together researchers whose work is related to human - computer interaction, share novel ideas, and stimulate new research directions. This year we received 113 submissions from more than 18 countries. Based upon the double-blind reviews of the program committee, 15 papers were accepted for oral presentation and publication in the proceedings. We would like to thank all of the members of the ProgramCommittee. Their reviews of the submissions as always played a pivotal role in the quality of the workshop.Furthermore,wewouldliketoacknowledgeoursponsorsandsuppo- ers, the Leiden Institute of Advanced Computer Science at Leiden University, the Faculty of Science at the University of Amsterdam, the Beckman Institute atthe UniversityofIllinoisatUrbana-Champaign,BSIK/BRICKS/FOCUS,the Netherlands National Science Foundation (NWO) and IEEE. Finally,specialthanksgotoBartThomee,whometthemyriadandunexpected challengesoforganizingthis workshopwith generousandtirelessdedication.
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This volume in the Lecture Notes of Artificial Intelligence represents the first book on human computing. We introduced the notion of human computing in 2006 and organized two events that were meant to explain this notion and the research conducted worldwide in the context of this notion. The first of these events was a Special Session on Human Computing that took place during the Eighth International ACM Conference on Multimodal Interfaces (ICMI 2006), held in Banff, Canada, on November 3, 2006. The theme of the conference was multimodal collaboration and our Special Session on Human Computing was a natural extension of the discussion on this theme. We are grateful to the organizers of ICMI 2006 for supporting our efforts to organize this Special Session during the conference. The second event in question was a Workshop on AI for Human Computing organized in conjunction with the 20th International Joint Conference on Artificial Intelligence (IJCAI 2007), held in Hyderabad (India), on January 6, 2007. The main theme of IJCAI 2007 was AI and its benefits to society. Our workshop presented a vision of the future of computing technology in which AI, in particular machine learning and agent technology, plays an essential role. We want to thank the organizers of IJCAI 2007 for their support in the organization of the Workshop on AI for Human Computing.
Mathematical statistics --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- patroonherkenning --- beeldverwerking --- factoranalyse --- grafische vormgeving --- informatica --- KI (kunstmatige intelligentie) --- robots
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Welcome to the International Workshop on Multimedia Content Analysis and Mining, MCAM 2007. Our workshop gives a snapshot of the current wor- wide research in multimedia analysis. Through recent advances in computing, networking, and data storage, multimedia will create new interesting technical possibilities in a wide range of ?elds, such as entertainment, commerce, science, medicine, and public safety. To bene?t from this potential, developers need - liable techniques for the analysis, search, and management of multimedia data, as well as distributed system architectures in which these techniques can be embedded to e?ectively help the users. Recently, there have been many workshops and meetings dedicated to M- timedia, but most of them followed the standard pattern consisting mainly of oral and poster presentations. We all feel that there is a need for a meeting that really is a workshop, i.e., one that provides a lot of opportunities for discussions and dissemination. Consequently, the format of the workshop consists of 4 p- els on hot topics in multimedia followedby discussions and poster presentations. The topics of the panels are: Multimedia Analysis and Applications, Multi- dia Search and Mining, P2P Streaming, and Security. This volume contains a number of invited contributions from experts in the area as well as the selected regular contributions. This year 139 submissions from 13 countries were submitted and 46 were accepted for presentation at the conference after being reviewed by the Program Committee members.
Computer architecture. Operating systems --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- beeldverwerking --- ICT (informatie- en communicatietechnieken) --- IR (information retrieval) --- grafische vormgeving --- multimedia --- informatiesystemen --- computernetwerken
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The interests and goals of HCI (human-computer interaction) include und- standing, designing, building, and evaluating complex interactive systems - volving many people and technologies. Developments in software and hardware technologies are continuously driving applications in supporting our collabo- tive and communicative needs as social beings, both at work and at play. At the same time, similar developments are pushing the human-computer interface beyond the desktop and into our pockets, streets, and buildings. Developments in mobile, wearable, and pervasive communications and computing technologies provide exciting challenges and opportunities for HCI. The present volume represents the proceedings of the HCI 2006 Workshop that was held in conjunction with ECCV 2006 (European Conference on C- puter Vision) in Graz, Austria. The goal of this workshop was to bring together researchers from the ?eld of computer vision whose work is related to human- computer interaction. We solicited original contributions that address a wide range of theoretical and application issues in human-computer interaction. Wewereverypleasedbytheresponseandhadadi?culttaskofselectingonly 11 papers (out of 27 submitted) to be presented at the workshop. The accepted papers were presented in four sessions, as follows: Face Analysis - In their paper Robust Face Alignment Based On Hierarchical Classi?er Network authors Li Zhang,Haizhou Ai, and Shihong Lao build a hierarc- cal classi?er network that connects face detection and face alignment into a smooth coarse-to-?ne procedure. Thus a robust face alignment algorithm on face images with expressionand pose changes is introduced. Experiments are reported to show its accuracy and robustness.
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