Intelligent visual media processing: when graphics meets vision

Cheng, Ming-Ming, Hou, Qi-Bin, Zhang, Song-Hai and Rosin, Paul L ORCID: https://orcid.org/0000-0002-4965-3884 2017. Intelligent visual media processing: when graphics meets vision. Journal of Computer Science and Technology 32 (1) , pp. 110-121. 10.1007/s11390-017-1681-7

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Abstract

The computer graphics and computer vision communities have been working closely together in recent years, and a variety of algorithms and applications have been developed to analyze and manipulate the visual media around us. There are three major driving forces behind this phenomenon: i) the availability of big data from the Internet has created a demand for dealing with the ever increasing, vast amount of resources; ii) powerful processing tools, such as deep neural networks, provide e�ective ways for learning how to deal with heterogeneous visual data; iii) new data capture devices, such as the Kinect, bridge between algorithms for 2D image understanding and 3D model analysis. These driving forces have emerged only recently, and we believe that the computer graphics and computer vision communities are still in the beginning of their honeymoon phase. In this work we survey recent research on how computer vision techniques bene�t computer graphics techniques and vice versa, and cover research on analysis, manipulation, synthesis, and interaction. We also discuss existing problems and suggest possible further research directions.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords:	computer graphics computer vision survey scene understanding image manipulation
Publisher:	Springer Verlag
ISSN:	1000-9000
Date of First Compliant Deposit:	4 April 2017
Date of Acceptance:	20 October 2016
Last Modified:	30 Nov 2024 20:15
URI:	https://orca.cardiff.ac.uk/id/eprint/99634

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