Screen Content Coding Based on HEVC Framework

Zhu, Weijia; Ding, Wenpeng; Xu, Jizheng; Shi, Yong; Yin, Baocai

doi:10.1109/tmm.2014.2315782

Cited by 59 publications

(23 citation statements)

References 19 publications

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“…The newly introduced depth information expands the dimension of QoE model. In addition, different stereoscope capture system, display system (such as parallax barrier and lenticular display), compression presentation formats (such as multi-view system and multi-view plus depth system), have different unique QoE issues to tackle.. • Screen content coding [109] is the new coding tool defined in H.265/HEVC. It is commonly used in the screen sharing applications, such as remote team collaboration environment.…”

Section: Qoe Model For Advanced Video Systemsmentioning

confidence: 99%

QoE in video streaming over wireless networks: perspectives and research challenges

Bai

et al. 2015

Wireless Netw

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The deployment of 3G/LTE networks and advancements in smart mobile devices had led to high demand for multimedia streaming over wireless network. The rapid increasing demand for multimedia content poses challenges for all parties in a multimedia streaming system, namely, content providers, wireless network service providers, and smart device makers. Content providers and mobile network service providers are both striving to improve their streaming services while utilizing advancing technologies. Smart device makers endeavor to improve processing power and displays for better viewing experience. Ultimately, the common goal shared by content providers, network service providers, and smart device manufactures is to improve the QoE for users. QoE is both an objective and a subjective metric measuring the streaming quality experience by end users. It may be measured by streaming bitrate, playback smoothness, video quality metrics like Peak to Signal Noise Ratio, and other user satisfaction factors. There have been efforts made to improve the streaming experiences in all these aspects. In this paper, we conducted a survey on existing literatures on QoE of video streaming to gain a deeper and more complete understanding of QoE quality metrics. The goal is to inspire new research directions in defining better QoE and improving QoE in existing and new streaming services such as adaptive streaming and 3D video streaming.

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Section: Qoe Model For Advanced Video Systemsmentioning

confidence: 99%

QoE in video streaming over wireless networks: perspectives and research challenges

Bai

et al. 2015

Wireless Netw

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“…To be integrated with GA, an H.265 codec implementation has to provide all the three required parameters (VPS, SPS, and PPS, as shown in Table 1). We have integrated libx265 [37] and HEVC Test Model (HM) [15] with GA. HEVC supports several emerging extensions like Range Extension (REXT) and Screen Content Coding (SCC) [39], which are designed for screencast or similar applications. We note that neither libx265 nor HM are optimized for real-time applications per our experiments.…”

Section: Emerging Video Codecsmentioning

confidence: 99%

“…GA works for screencast, because cloud gaming is an extreme application of screencast, which dictates high video quality, high frame rate (in frame-per-second, fps), and low interaction latency [7]. Nevertheless, using GA as a general screencast technology may leave rooms for optimization, e.g., it is well-known that popular video coding standards, such as H.264 [34], are designed for natural videos and may not be suitable to screen contents, also known as compound images, which are combinations of computer-generated texts and graphics, rendered 3D scenes, and natural videos [39].…”

Section: Introductionmentioning

confidence: 99%

Screencast dissected

Hsu

Tsai

Huang

et al. 2015

Proceedings of the 6th ACM Multimedia Systems Conference

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Dynamic and adaptive binding between computing devices and displays is increasingly more popular, and screencast technologies enable such binding over wireless networks. In this paper, we design and conduct the first detailed measurement study on the performance of the state-of-the-art screencast technologies. Several commercial and one opensource screencast technologies are considered in our detailed analysis, which leads to several insights: (i) there is no single winning screencast technology, indicating rooms to further enhance the screencast technologies, (ii) hardware video encoders significantly reduce the CPU usage at the expense of slightly higher GPU usage and end-to-end delay, and should be adopted in future screencast technologies, (iii) comprehensive error resilience tools are needed as wireless communication is vulnerable to packet loss, (iv) emerging video codecs designed for screen contents lead to better Quality of Experience (QoE) of screencast, and (v) rate adaptation mechanisms are critical to avoiding degraded QoE due to network dynamics. Furthermore, our measurement methodology and open-source screencast platform allow researchers and developers to quantitatively evaluate other design considerations, which will lead to optimized screencast technologies.

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“…Moreover, SCC using dictionary [8,9,10] is proposed by exploiting the repeated patterns in screen content. Besides, SCC using basic color and index map [11,12] is proposed by dividing screen content into color component and structure component.…”

Section: Introductionmentioning

confidence: 99%

Pattern-matching scheme for HEVC screen content coding

Xu¹,

Song²

2016

Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering

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Abstract. Screen Content refers to image/video generated by electronic devices, like cartoons, 3-D games or captures of computer screens or video with text overlay etc. The existing video coding techniques don't perform well on screen content. In this paper, the characteristics of screen content and coding efficiency of HEVC on screen content are analyzed. This paper proposes a pattern-matching mode aimed at improving the coding efficiency for screen content video based on HEVC. The scheme uses basic color and index map (BCIM) to convert the pixel values in a CU to index values. Then a dictionary based coding method is adopted to code the index values. In addition, a fast dictionary searching algorithm based on hash-table is proposed to reduce the string matching time. The experiment result shows the proposed mode achieves significant coding efficiency improvement on screen content compared with HEVC.

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Screen Content Coding Based on HEVC Framework

Cited by 59 publications

References 19 publications

QoE in video streaming over wireless networks: perspectives and research challenges

QoE in video streaming over wireless networks: perspectives and research challenges

Screencast dissected

Pattern-matching scheme for HEVC screen content coding

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