This book constitutes the proceedings of the Third Workshop on Face and Facial Expression Recognition from Real World Videos, FFER 2018, and the Second International Workshop on Deep Learning for Pattern Recognition, DLPR 2018, held at the 24th International Conference on Pattern Recognition, ICPR 2018, in Beijing, China, in August 2018. The 7 papers presented in this volume were carefully reviewed and selected from 9 submissions. They deal with topics such as histopathological images, action recognition, scene text detection, speech recognition, object classification, presentation attack detection, and driver drowsiness detection.

This book constitutes the proceedings of the Third Workshop on Video Analytics for Audience Measurement, VAAM 2016, and the Second International Workshop on Face and Facial Expression Recognition from Real World Videos, FFER 2016, held at the 23rd International Conference on Pattern Recognition, ICPR 2016, in Cancun, Mexico, in December 2016. The 11 papers presented in this volume were carefully reviewed and selected from 13 submissions. They deal with: re-identification; consumer behavior analysis; utilizing pupillary response for task difficulty measurement; logo detection; saliency prediction; classification of facial expressions; face recognition; face verification; age estimation; super resolution; pose estimation; and pain recognition.

This book constitutes the thoroughly refereed conference proceedings of the International Workshop on Face and Facial Expression Recognition from Real World Videos in conjunction with the 22nd International Conference on Pattern Recognition held in Stockholm, Sweden, in August 2014. The 11 revised full papers were carefully reviewed and selected from numerous submissions and cover topics such as Face Recognition, Face Alignment, Facial Expression Recognition and Facial Images.

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.

"Video Key Frames Feature Selection and Face Recognition," authored by Shirley C. P, is an indispensable guide that delves into the fascinating realms of computer vision, machine learning, and artificial intelligence, specifically focusing on the domains of image processing, video analysis, and pattern recognition. This comprehensive book encompasses cutting-edge techniques and methodologies essential for understanding and harnessing the power of visual computing. The book places a strong emphasis on the vital aspects of video analysis, exploring topics such as key frames, feature selection, and face recognition. It delves into the intricacies of video surveillance, object tracking, and facial detection, shedding light on the underlying mechanisms behind image classification, image segmentation, and motion analysis. With an emphasis on both theoretical foundations and practical applications, the book covers a wide array of subjects, including video retrieval, content-based video retrieval, video summarization, and visual features. It explores the intricacies of face detection, verification, identification, and alignment, along with facial expression recognition and pose estimation. Additionally, it addresses topics like action recognition, human activity recognition, video forensics, and video compression, as well as video quality assessment, coding, and indexing. Furthermore, the book delves into multimedia analytics, multimedia content analysis, video-based biometrics, and video foreground extraction. It explores the crucial area of object recognition and video annotation, while also delving into multimedia retrieval, video mining, visual content analysis, and multimedia forensics. Through its insightful content, the book aims to enhance readers' understanding of video understanding and empower them with the knowledge necessary to tackle complex challenges in the field. Overall, "Video Key Frames Feature Selection and Face Recognition" serves as an invaluable resource for researchers, practitioners, and enthusiasts interested in exploring the vast potential of video analysis, image processing, and visual computing.

The world is experiencing an unprecedented period of change and growth through all the electronic and technilogical developments and everyone on the planet has been impacted. What was once ‘science fiction’, today it is a reality. This book explores the world of many of once unthinkable advancements by explaining current technologies in great detail. Each chapter focuses on a different aspect - Machine Vision, Pattern Analysis and Image Processing - Advanced Trends in Computational Intelligence and Data Analytics - Futuristic Communication Technologies - Disruptive Technologies for Future Sustainability. The chapters include the list of topics that spans all the areas of smart intelligent systems and computing such as: Data Mining with Soft Computing, Evolutionary Computing, Quantum Computing, Expert Systems, Next Generation Communication, Blockchain and Trust Management, Intelligent Biometrics, Multi-Valued Logical Systems, Cloud Computing and security etc. An extensive list of bibliographic references at the end of each chapter guides the reader to probe further into application area of interest to him/her.

July 19-21, 2018 Rome, Italy Key Topics : Imaging and Image Processing, Multimedia Cloud and Big Data, Multimedia IoT, Multimedia Systems & Services, Computer Games Design & Development, Multimedia Applications, Computer Graphics & Animation, Compter Vision and Pattern Recognition, Virtual Reality & Augmented Reality, Artificial Intelligence & Machine Learning, Natural language processing & Tensorflow, Artificial Intelligence for Bussines, Neural Networks, Human Computer Interaction and Visualization, Artificial Intelligence & Multimedia Technologies in Healthcare,