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Color in Computer Vision
While the field of computer vision drives many of today’s digital technologies and communication networks, the topic of color has emerged only recently in most computer vision applications. One of the most extensive works to date on color in computer vision, this book provides a complete set of tools for working with color in the field of image understanding. Based on the authors’ intense collaboration for more than a decade and drawing on the latest thinking in the field of computer science, the book integrates topics from color science and computer vision, clearly linking theories, techniques, machine learning, and applications. The fundamental basics, sample applications, and download...
Computer Vision in Human-Computer Interaction
This book constitutes the refereed proceedings of the International Workshop on Human-Computer Interaction, HCI 2004, held at ECCV 2004 in Prague, Czech Republic in May 2004. The 19 revised full papers presented together with an introductory overview and an invited paper were carefully reviewed and selected from 45 submissions. The papers are organized in topical sections on human-robot interaction, gesture recognition and body tracking, systems, and face and head.
Visual Information and Information Systems
This book constitutes the refereed proceedings of the Third International Conference on Visual Information Systems, VISUAL'99, held in Amsterdam, The Netherlands, in June 1999. The 100 revised papers presented were carefully reviewed and selected from numerous submissions. The book is divided into topical sections on visual information systems, interactive visual query, Internet search engines, video parsing, spatial data, visual languages, features and indexes for image retrieval, object retrieval, ranking and performance, shape retrieval, retrieval systems, image compression, virtual environments, recognition systems, and visualization systems.
Visual Information and Information Systems
Comprises 25 revised full papers presented at the 8th International Conference on Visual Information Systems, VISUAL 2005, held in Amsterdam, The Netherlands in July 2005. These represent the current state of the art of visual information processing, feature extraction and aggregation at semantic level and content-based retrieval, as well as the study of user intention in query processing, and issues of delivery and consumption of multimedia content.
Machine Learning Techniques for Multimedia
Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the domain from which the data is drawn, and to organize that data and improve the performance of the processes manipulating it. Arising from the EU MUSCLE network, this multidisciplinary book provides a comprehensive coverage of the most important machine learning techniques used and their application in this domain.
Interactional Humor
The central question explored in this volume is: How is humor multimodally produced, perceived, responded to, and negotiated? To this end, it offers a panorama of linguistic research on multimodal and interactional humor, based on different theoretical frameworks, corpora, and methodologies. Humor is considered as an activity that is interactionally achieved, regardless of whether the interaction in which it is embedded is face-to-face, computer-mediated, with a human or a robot, oral or written. The aim is to analyze both the linguistic resources of the participants (such as their lexicon, prosody, gestures, gazes, or smiles) and the semiotic resources that social networks and instant messaging platforms offer them (such as memes, gifs, or emojis).
Principles of Visual Information Retrieval
This text introduces the basic concepts and techniques in VIR. In doing so, it develops a foundation for further research and study. Divided into two parts, the first part describes the fundamental principles. A chapter is devoted to each of the main features of VIR, such as colour, texture and shape-based search. There is coverage of search techniques for time-based image sequences or videos, and an overview of how to combine all the basic features described and integrate them into the search process. The second part looks at advanced topics such as multimedia query. This book is essential reading for researchers in VIR, and final-year undergraduate and postgraduate students on courses such as Multimedia Information Retrieval, Multimedia Databases, and others.
Visual Database Systems 3
Both the way we look at data, through a DBMS, and the nature of data we ask a DBMS to manage have drastically evolved over the last decade, moving from text to images (and to sound to a lesser extent). Visual representations are used extensively within new user interfaces. Powerful visual approaches are being experimented for data manipulation, including the investigation of three dimensional display techniques. Similarly, sophisticated data visualization techniques are dramatically improving the understanding of the information extracted from a database. On the other hand, more and more applications use images as basic data or to enhance the quality and richness of data manipulation service...
ImageCLEF
The pervasive creation and consumption of content, especially visual content, is ingrained into our modern world. We’re constantly consuming visual media content, in printed form and in digital form, in work and in leisure pursuits. Like our cave– man forefathers, we use pictures to record things which are of importance to us as memory cues for the future, but nowadays we also use pictures and images to document processes; we use them in engineering, in art, in science, in medicine, in entertainment and we also use images in advertising. Moreover, when images are in digital format, either scanned from an analogue format or more often than not born digital, we can use the power of our com...
Computer Vision – ECCV 2020
The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
