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http://dx.doi.org/10.3837/tiis.2016.10.024

Efficient Screen Splitting Methods - A Case Study in Block-wise Motion Detection  

Layek, Md. Abu (Department of Computer Science and Engineering, Kyung Hee University Global Campus)
Chung, TaeChoong (Department of Computer Science and Engineering, Kyung Hee University Global Campus)
Huh, Eui-Nam (Department of Computer Science and Engineering, Kyung Hee University Global Campus)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.10, no.10, 2016 , pp. 5074-5094 More about this Journal
Abstract
Screen splitting is one of the fundamental tasks in different methods including video and image compression, screen classification, screen content coding and the like. These methods in turn support various applications in data communications, remote screen sharing, remote desktop delivery to assist teaching-learning, telemedicine, Desktop as a Service etc. In the literature we find systems requiring splitting assumes a fixed size split that do not change dynamically, also there is no analysis why that split is chosen in terms of performance. By doing mathematical analysis this paper first finds the efficient splitting schemes that can be easily automated to make a system adaptive. Thereafter, taking the screen motion detection as a case study, it demonstrates the effects of various splitting methods on motion detection performance. The simulation results clearly shows how classification performances varies with different splitting which will facilitate to choose the best splitting for a specific application scenario as well as making the system adaptive by providing dynamic splitting.
Keywords
Screen Splitting; Content Coding; Screen Classification; Desktop Delivery;
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