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Computer vision algorithms for the analysis of video data are obtained from a camera aimed at the user of an interactive system. It is potentially useful to enhance the interface between users and machines. These image sequences provide information from which machines can identify and keep track of their users, recognize their facial expressions and gestures, and complement other forms of human-computer interfaces. Facial Analysis from Continuous Video with Applications to Human-Computer Interfaces presents a learning technique based on information-theoretic discrimination which is used to construct face and facial feature detectors. This book also describes a real-time system for face and facial feature detection and tracking in continuous video. Finally, this book presents a probabilistic framework for embedded face and facial expression recognition from image sequences. Facial Analysis from Continuous Video with Applications to Human-Computer Interfaces is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and engineering.
Large volumes of video content can only be easily accessed by the use of rapid browsing and retrieval techniques. Constructing a video table of contents (ToC) and video highlights to enable end users to sift through all this data and find what they want, when they want are essential. This reference puts forth a unified framework to integrate these functions supporting efficient browsing and retrieval of video content. The authors have developed a cohesive way to create a video table of contents, video highlights, and video indices that serve to streamline the use of applications in consumer and surveillance video applications. The authors discuss the generation of table of contents, extraction of highlights, different techniques for audio and video marker recognition, and indexing with low-level features such as color, texture, and shape. Current applications including this summarization and browsing technology are also reviewed. Applications such as event detection in elevator surveillance, highlight extraction from sports video, and image and video database management are considered within the proposed framework. This book presents the latest in research and readers will find their search for knowledge completely satisfied by the breadth of the information covered in this volume.* Offers the latest in cutting edge research and applications in surveillance and consumer video* Presentation of a novel unified framework aimed at successfully sifting through the abundance of footage gathered daily at shopping malls, airports, and other commercial facilities* Concisely written by leading contributors in the signal processing industry with step-by-step instruction in building video ToC and indices
This book constitutes the refereed proceedings of the 6th International Conference on Augmented Cognition, FAC 2011, held in Orlando, FL, USA in July 2011, within the framework of the 14th International Conference on Human-Computer Interaction, HCII 2011, with 11 other thematically similar conferences. The 75 full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical parts on theories, models, and technologies for augmented cognition; neuroscience and brain monitoring; augmented cognition, social computing, and collaboration; augmented cognition for learning; augmented cognition and interaction; and augmented cognition in complex environments.
This volume constitutes the refereed proceedings of the 10th International Conference on Foundations of Augmented Cognition, AC 2016, held as part of the 18th International Conference on Human-Computer Interaction, HCII 2016, which took place in Toronto, Canada, in July 2016. HCII 2016 received a total of 4354 submissions, of which 1287 papers were accepted for publication after a careful reviewing process. The 41 papers presented in this volume were organized in topical sections named: augmented cognition in training and education; human cognition and behavior in complex tasks and environments; interaction in augmented cognition; and social cognition.
Face recognition has been actively studied over the past decade and continues to be a big research challenge. Just recently, researchers have begun to investigate face recognition under unconstrained conditions. Unconstrained Face Recognition provides a comprehensive review of this biometric, especially face recognition from video, assembling a collection of novel approaches that are able to recognize human faces under various unconstrained situations. The underlying basis of these approaches is that, unlike conventional face recognition algorithms, they exploit the inherent characteristics of the unconstrained situation and thus improve the recognition performance when compared with conventional algorithms. Unconstrained Face Recognition is structured to meet the needs of a professional audience of researchers and practitioners in industry. This volume is also suitable for advanced-level students in computer science.
The 16th international conference on Multimedia Modeling (MMM2010) was held in the famous mountain city Chongqing, China, January 6–8, 2010, and hosted by Southwest University. MMM is a leading international conference for researchersand industry practitioners to share their new ideas, original research results and practicaldevelopment experiences from all multimedia related areas. MMM2010attractedmorethan160regular,specialsession,anddemosession submissions from 21 countries/regions around the world. All submitted papers were reviewed by at least two PC members or external reviewers, and most of them were reviewed by three reviewers. The review process was very selective. From the total of 133 submissions to the main track, 43 (32. 3%) were accepted as regular papers, 22 (16. 5%) as short papers. In all, 15 papers were received for three special sessions, which is by invitation only, and 14 submissions were received for a demo session, with 9 being selected. Authors of accepted papers come from 16 countries/regions. This volume of the proceedings contains the abstracts of three invited talks and all the regular, short, special session and demo papers. The regular papers were categorized into nine sections: 3D mod- ing;advancedvideocodingandadaptation;face,gestureandapplications;image processing;imageretrieval;learningsemanticconcepts;mediaanalysisandm- eling; semantic video concepts; and tracking and motion analysis. Three special sessions were video analysis and event recognition, cross-X multimedia mining in large scale, and mobile computing and applications. The technical programfeatured three invited talks, paralleloral presentation of all the accepted regular and special session papers, and poster sessions for short and demo papers.
Palmprint Authentication is the first book to provide a comprehensive introduction to palmprint technologies. It reveals automatic biometric techniques for personal identification using palmprint, from the approach based on offline palmprint images, to the current state-of-the-art algorithm using online palmprint images. Palmprint Authentication provides the reader with a basic concept of Palmprint Authentication. It also includes an in-depth discussion of Palmprint Authentication technologies, a detailed description of Palmprint Authentication systems, and an up-to-date coverage of how these issues are developed. This book is suitable for different levels of readers: those who want to learn more about palmprint technology, and those who wish to understand, participate, and/or develop a palmprint authentication system. Palmprint Authentication is effectively a handbook for biometric research and development. Graduate students and researchers in computer science, electrical engineering, systems science, and information technology will all find it uniquely useful, not only as a reference book, but also as a text book. Researchers and practitioners in industry, and R&D laboratories working in the fields of security system design, biometrics, immigration, law enforcement, control, and pattern recognition will also benefit from this volume.
The impact of mass media on individuals and society is to a great extent based on human emotions. Emotions, in turn, are essential in understanding how media messages are processed as well as media’s impact on individual and social behavior and public social life. Adopting an interdisciplinary approach to the study of emotions within a mass media context, the Handbook of Emotions and Mass Media addresses areas such as evolutionary psychology, media entertainment, sociology, cultural studies, media psychology, political communication, persuasion, and new technology. Leading experts from across the globe explore cutting-edge research on issues including the evolutionary functions of mediated emotions, emotions and media entertainment , measurements of emotions within the context of mass media, media violence, fear-evoking media, politics and public emotions, features , forms and functions of emotions beyond the message, and provide the reader a glimpse into future generations of media technology. This compelling and authoritative Handbook is an essential reference tool for scholars and students of media, communication studies, media psychology, emotions, cultural studies, sociology, and other related disciplines.
Human Identification Based on Gait is the first book to address gait as a biometric. Biometrics is now in a unique position where it affects most people's lives. This is especially true of "gait", which is one of the most recent biometrics. Recognizing people by the way they walk and run implies analyzing movement which, in turn, implies analyzing sequences of images, thus requiring memory and computational performance that became available only recently. Human Identification Based on Gait introduces developments from distinguished researchers within this relatively new area of biometrics. This book clearly establishes how human gait is biometric. Human Identification Based on Gait is structured to meet the needs of professionals in industry, as well as advanced-level students in computer science.
Details multimodal biometrics and its exceptional utility for increasingly reliable human recognition systems. Reveals the substantial advantages of multimodal systems over conventional identification methods.