HEVC in wireless environments

Abstract

The increasing demand for real-time applications with high and ultra-high-definition video urged the ITU-T and the ISO/IEC to join their forces to develop the next-generation video coding standard. The new coding standard that has been produced is known as High-Efficiency Video Coding (HEVC). The proposed HEVC standard fulfilled its target to achieve more than 50 % improvement in video compression over the existing H.264 Advanced Video Coding standard, keeping comparable image quality, at the expense of increased computational complexity. Advances in wireless communications and mobile networking have dramatically increased the popularity of video services for mobile users, with video delivery at their fingertips. Delivering high perceptual quality video over wireless environments is challenging due to the changing channel quality and the variations in the importance of one source packet to the next for the end user's quality of experience. The main objective of this paper is to provide an overview over the new characteristics which are likely to be used in HEVC in wireless environments and discusses several research challenges. Experimental results demonstrate that for low-delay wireless video communications, the HEVC codec is more effective compare to previous H.264 codec and shows better overall performance. Both subjective and objective visual quality comparative study has been also carried out to validate the proposed approach.

Experimental performance analysis of multipath TCP path characteristics in streaming UHD HEVC-dash over wireless networks

“…HEVC coded video sequence is specifically divided into smaller intervals referred to as Group of Pictures (GOP). Structure and feature are detailed in [12]. Though HEVC has high complex structure [13], [14], and on the process of being incorporated into media devices [13], its high compression performance and reduction in file size and bitrate offers promise of less bandwidth utilization [11].This lower bandwidth utilization has attracted many content generators to HEVC for video delivery over the internet.…”

Evolutionary Multiobjective Optimization algorithm for multimedia delivery in critical applications through Content-Aware Networks

“…The DNS-like approaches [9][10][11][12], collect information on available content replicas (including codec information), content server status and network conditions, then use it for best content source selection, achieving in principle a globally optimal solution. However, an intermediate service layer is needed (called simply CAN) for managing the information that arrived from different entities and controlling the end-to-end content delivery.…”

DASCo: dynamic adaptive streaming over CoAP

“…A small form factor stand-alone cameras that are available nowadays are equipped, besides visual sensor and optic, with modules responsible for hardware-based data encoding and wireless transmission [10]. The new generation of video codecs provides higher effectiveness of video compression, also in wireless environment [33], resulting in a satisfying quality of multimedia content jointly with low bit rates usually required in IoT scenarios. Moreover, the new codecs can be merged with different encryption schemes that offer a good protection of multimedia streaming while preserving the bit rate and minimizing the computational requirements [26].…”