Liming Zhang - Böcker

Visual attention is a relatively new area of study combining a number of disciplines: artificial neural networks, artificial intelligence,  vision science and psychology. The aim is to build computational models similar to human vision in order to solve tough problems for many potential applications including object recognition, unmanned vehicle navigation, and image and video coding and processing. In this book, the authors provide an up to date and highly applied introduction to the topic of visual attention, aiding researchers in creating powerful computer vision systems. Areas covered include the significance of vision research, psychology and computer vision, existing computational visual attention models, and the authors' contributions on visual attention models, and applications in various image and video processing tasks. This book is geared for graduates students and researchers in neural networks, image processing, machine learning, computer vision, and other areas of biologically inspired model building and applications. The book can also be used by practicing engineers looking for techniques involving the application of image coding, video processing, machine vision and brain-like robots to real-world systems. Other students and researchers with interdisciplinary interests will also find this book appealing. Provides a key knowledge boost to developers of image processing applicationsIs unique in emphasizing the practical utility of attention mechanismsIncludes a number of real-world examples that readers can implement in their own work:robot navigation and object selectionimage and video quality assessmentimage and video codingProvides codes for users to apply in practical attentional models and mechanisms

The Second International Conference on Hybrid Learning was organized by the School of Continuing and Professional Studies of The Chinese University of Hong Kong and University of Macau in August 2009. ICHL 2009 was an inventive experience for the Hong Kong and Macau tertiary higher education. The conference aims to provide a good platform for knowledge exchange on hybrid learning by focusing on student centered education. The technique is to supplement traditional classroom learning with eLearning. The slogan is “Education leads eLearning,” not vice versa. The me- odology is that at least 30% of learning activities are done by eLearning. The outcome is for students to learn at any time at any place. eLearning can increase students’ lea- ing productivity and reduce teachers’ administration workload alike. It is a new culture for students, teachers and school administrators to adopt in the twenty-first century. The conference obtained sponsorship from Pei Hua Education Foundation Limited, City University of Hong Kong, ACM Hong Kong Section, and Hong Kong Computer Society. Hybrid learning originated from North America in 2000, and is an ongoing trend. It is not merely a simple combination of direct teaching and eLearning. It encompasses different learning strategies and important elements for teaching and learning. It - phasizes outcome-based teaching and learning, and provides an environment for knowledge learning. Students are given more opportunities to be active learners and practice practical skills such as communication, collaboration, critical thinking, cr- tivity, self-management, self-study, problem solving, analysis and numeracy.

color: rgb(34, 34, 34);">3th International Conference of Educational Innovation through Technology, EITT 2024, Macau, China, during November 8–10, 2024.The 17 revised full papers and 7 short papers presented in these proceedings were carefully reviewed and selected from 78 submissions.