Open AccessExtracting Graphics Information for Better Video Compression
Author(s) -
Hong Kang Woon,
Ryu Won,
Choi Jun Kyun,
Lim ChoongGyoo
Publication year - 2015
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.15.0114.0065
Subject(s) - computer science , graphics , graphics pipeline , video compression picture types , rendering (computer graphics) , video tracking , data compression , real time computer graphics , artificial intelligence , computer graphics (images) , computer vision , frame (networking) , video processing , 3d computer graphics , computer network
Cloud gaming services are heavily dependent on the efficiency of real‐time video streaming technology owing to the limited bandwidths of wire or wireless networks through which consecutive frame images are delivered to gamers. Video compression algorithms typically take advantage of similarities among video frame images or in a single video frame image. This paper presents a method for computing and extracting both graphics information and an object's boundary from consecutive frame images of a game application. The method will allow video compression algorithms to determine the positions and sizes of similar image blocks, which in turn, will help achieve better video compression ratios. The proposed method can be easily implemented using function call interception, a programmable graphics pipeline, and off‐screen rendering. It is implemented using the most widely used Direct3D API and applied to a well‐known sample application to verify its feasibility and analyze its performance. The proposed method computes various kinds of graphics information with minimal overhead.