Visual Question Answering by Qi Wu

Visual Question Answering by Qi Wu

Visual Question Answering (VQA) usually combines visual inputs like image and video with a natural language question concerning the input and generates a natural language answer as the output. This is by nature a multi-disciplinary research problem, involving computer vision (CV), natural language processing (NLP), knowledge representation and reasoning (KR), etc.

Further, VQA is an ambitious undertaking, as it must overcome the challenges of general image understanding and the question-answering task, as well as the difficulties entailed by using large-scale databases with mixed-quality inputs. However, with the advent of deep learning (DL) and driven by the existence of advanced techniques in both CV and NLP and the availability of relevant large-scale datasets, we have recently seen enormous strides in VQA, with more systems and promising results emerging.

This book provides a comprehensive overview of VQA, covering fundamental theories, models, datasets, andpromising future directions. Given its scope, it can be used as a textbook on computer vision and natural language processing, especially for researchers and students in the area of visual question answering. It also highlights the key models used in VQA.

Vivian Ling was born in wartime China and educated in the U.S. She taught for 24 years at Oberlin College before moving overseas to direct study-abroad Chinese language programs, most notably the Inter-University Program for Chinese Language Studies at National Taiwan University in Taipei and Tsinghua University in Beijing. Her last position was Director of the Chinese Flagship program at Indiana University. She has authored and edited Chinese language textbooks, dictionaries, books on modern Chinese literature, and most recently The Field of Chinese Language Education in the U.S.: A Retrospective of the 20th Century. She lives in Washington DC.

Peng Wang joined the faculty of the Department of East Asian Languages & Cultures at Georgetown University in 2002, and has taught various levels of Chinese language courses, including Business Chinese and Intensive Chinese for Advanced Beginners. Professor Wang has also taught Chinese language as the chief instructor at the Inter-University Program for Chinese Language Studies at Tsinghua University and as visiting professor at Oberlin College and Brown University. In the summer of 2010 and 2012, Professor Wang served as the academic director for the State Department-sponsored Critical Language Scholarship Program in Shanghai.

SKU	Unavailable
ISBN 13	9789811909665
ISBN 10	9811909660
Title	Visual Question Answering
Author	Qi Wu
Series	Advances In Computer Vision And Pattern Recognition
Condition	Unavailable
Binding Type	Paperback
Publisher	Springer Verlag, Singapore
Year published	2023-05-15
Number of pages	238
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.