Visual Question Answering: From Theory to Application

Visual Question Answering (VQA) is a multi-disciplinary research problem that combines visual inputs with natural language questions to generate natural language answers. It involves computer vision, natural language processing, knowledge representation, and reasoning. With the advent of deep learning, VQA has made significant progress, and this book provides a comprehensive overview of the field, covering fundamental theories, models, datasets, and promising future directions. It can be used as a textbook for researchers and students in visual question answering.

Format: Hardback
Length: 238 pages
Publication date: 14 May 2022
Publisher: Springer Verlag, Singapore

Visual Question Answering (VQA) is a captivating field that seamlessly blends visual inputs, such as images and videos, with natural language queries to produce natural language answers as its output. This intricate domain demands a multidisciplinary approach, drawing upon computer vision (CV), natural language processing (NLP), knowledge representation and reasoning (KR), and other related disciplines.

VQA poses a formidable challenge as it seeks to bridge the gap between general image understanding and the demanding task of question answering. Moreover, the utilization of large-scale databases with diverse and sometimes mixed-quality inputs adds an additional layer of complexity. However, recent advancements in deep learning (DL) and the development of advanced techniques in CV and NLP have propelled VQA to remarkable heights.

In recent years, we have witnessed a surge of progress in VQA, with the emergence of more systems and impressive achievements. This book serves as a comprehensive guide, offering a thorough exploration of VQA's fundamental theories, models, datasets, and promising future directions. Its extensive scope makes it an invaluable resource for researchers and students alike, particularly those specializing in visual question answering. Furthermore, it sheds light on the key models employed in this field, providing a solid foundation for further research and development.

In conclusion, Visual Question Answering is a rapidly evolving domain that combines cutting-edge technology with human intelligence. This book serves as a valuable resource for anyone seeking to delve into the complexities of VQA, offering a comprehensive overview and highlighting the key models employed in this field. With its interdisciplinary nature and promising future, VQA holds great potential for advancing our understanding of visual perception and language processing.

Weight: 547g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811909634
Edition number: 1st ed. 2022