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|Title:||Ultra fast screen content coding via random forest||Authors:||Tsang, SH
|Issue Date:||2020||Source:||In 2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) : proceedings : 7-10 December 2020, Auckland, New Zealand, 2020, p. 1112-1117||Abstract:||Screen content coding (SCC) is an extension to High Efficiency Video Coding (HEVC) used to compress screen content videos. Besides the conventional intra (INTRA) mode, new coding tools, intra block copy (IBC), palette (PLT) modes, and adaptive color-space transform (ACT) are introduced to encode screen content (SC) such as texts and graphics. However, the use of IBC, PLT and ACT increases the encoder complexity though coding efficiency can be improved. While there were numerous approaches for fast INTRA, fast IBC and fast PLT at coding unit (CU) level, we propose fast prediction unit (PU) decisions for INTRA and IBC. In addition, fast ACT approach is also proposed. Both approaches reduce the encoder complexity of SCC by making use of SC characteristics, neighbor correlations, and intermediate cost information via random forest (RF). Experimental results show that, with also fast CU mode decision approaches at CU level, our proposed approach, namely HoFastRF, can obtain 51.29% average encoding time reduction with only 1.45% increase in Bjøntegaard delta bitrate (BD-rate). It is the first fast SCC approach to obtain over 50% average encoding time reduction with less than 1.5% increase in BD-rate.||Rights:||© 2020 APSIPA
Copyright 2020 IEEE. Published in the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2020 (APSIPA 2020), scheduled for 7-10 December, 2020 in Auckland, New Zealand. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works, must be obtained from the IEEE. Contact: Manager, Copyrights and Permissions / IEEE Service Center / 445 Hoes Lane / P.O. Box 1331 / Piscataway, NJ 08855-1331, USA. Telephone: + Intl. 908-562-3966.
The following publication S. -H. Tsang, N. -W. Kwong and Y. -L. Chan, "Ultra Fast Screen Content Coding via Random Forest," 2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2020, pp. 1112-1117 is available at https://ieeexplore.ieee.org/document/9306267
|Appears in Collections:||Conference Paper|
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