China
Africa
Explore chapters and articles related to this topic
Video Codecs Assessment over IPTV Using OPNET
Published in Ibrahiem M. M. El Emary, Anna Brzozowska, Shaping the Future of ICT, 2017
Eman S. Sabry, Rabie A. Ramadan, M. H. Abd El-Azeem, Hussien ElGouz
Hence, efficient coding techniques for MV video have been extensively researched in recent years, but it is still an open area for research. Therefore, the industry keeps looking for the global benchmark for video compression, which is the International Telecommunication Union (ITU) and its partners, since ITU-T H.264 has underpinned expansion and rapid progress. HEVC or ITU-T H.265 was jointly developed to double the video data compression ratio as compared to its predecessor ITU-T H.264/MPEG-4 Part 10, Advanced Video Coding (AVC) at the same level of video quality or better. HEVC opens the future door for video transmission only using half of the bandwidth (bit rate) compared to its predecessor, which currently accounts for over 80% of all web video. H.265/HEVC, the latest advance video coding, has emerged as the video coding standard and 3D video coding serving multimedia communications.
5G Edge-Based Video Surveillance in Smart Cities
Published in Zoran S. Bojkovic, Dragorad A. Milovanovic, Tulsi Pawan Fowdur, 5G Multimedia Communication, 2020
The Moving Picture Experts Group (MPEG) was formed to create a standard in digital video. There is a whole family of standards based on MPEG compression techniques. Although the methods of compression are similar to JPEG, MPEG provides motion compensation, and the bandwidth and storage space is drastically reduced compared with MJPEG. The prevailing compression standard at the moment in video surveillance is H.264. Due to many improvements in the algorithm (more efficient prediction methods) compared with older standards, H.264 can encode and decode video at a higher quality with the same bit rate or using half the bandwidth of its codec predecessors with the same video quality. It requires high level of processing power because there are more mathematical computation requirements necessary to achieve the higher-quality image. H.264 can provide better quality video for video analytics, and due to the required high level of processing power on both sides, it can easily support the most demanding video analytics software application and alarm signals processing of any kind. Recently, H.265 or high-efficiency video coding (HEVC) – the latest MPEG standard, entered in video surveillance industry mainly to support higher-resolution video (4K and 8K) that is very important in security applications. If compared with H.264, HEVC achieves the same perceptual quality of video with only half (or even less than half) of the bit rate used by H.264 [12]. HEVC extends the compression concepts implemented in H.264 and achieves improvement in many areas [13], like in intrapicture prediction, like in motion compensation precision and motion vector prediction, or extended macroblock sizes, and many more.
Fundamentals of Digital Video Coding
Published in Yun-Qing Shi, Huifang Sun, Image and Video Compression for Multimedia Engineering, 2019
High-Efficiency Video Coding (HEVC) or H.265: HEVC, also known as H.265 and MPEG-H Part 2, was also been developed by the JVT in 2013 [H265]. It is a new video compression standard and one of several potential successors to the widely used AVC (H.264 or MPEG-4 Part 10). In comparison to H.264/AVC, HEVC offers about double the data compression ratio at the same level of video quality, or substantially improved video quality at the same bit rate. It supports resolutions up to 8192 × 4320, including 8K UHD. The detailed information will be described in Chapter 21.
Analysis of coding unit partitioning and complexity reduction at intra-prediction mode of HEVC
Published in The Imaging Science Journal, 2022
Yogita M. Vaidya, Shilpa P. Metkar
The literature survey encompasses the complete era of HEVC from its inception in 2012 to 2021. The successor of HEVC is the Versatile Video Coding standard (VVC) [20]. Many more advanced features are implemented in VVC for HD video quality [21]. In [22] L.Shen extended the idea of fast mode decision for VVC. Following the same ideas of complexity reduction our proposed hybrid approach intends to reduce the number of candidate CUs undergoing the time-consuming RDO process. In the proposed methodology, at the first step, we have categorized the CU into homogeneous and non-homogeneous based on the gradient response. Homogeneous CUs are skipped in the RDO process and the number of candidate CUs is reduced at the first level. In the second step, the early termination decision of non-homogeneous CUs is taken by the machine learning approach to further reduce the number of candidate CUs out of non-homogeneous CUs. Thus, the novelty of the algorithm is in its two-step approach of reducing the number of CUs undergoing the RD search. The proposed hybrid approach is evaluated based on the encoding time and bit rate as the evaluation metrics. The hybrid algorithm is more efficient in terms of complexity reduction than the standard HM reference model and other approaches.
Performance-efficient integration and programming approach of DCT accelerator for HEVC in MANGO platform
Published in Automatika, 2019
Igor Piljić, Leon Dragić, Mario Kovač
Latest analysis and statistics show that 82% of global IP traffic will be video traffic by 2022, which is an increase from 75% in 2017 [1]. Handling and transferring this huge amount of data requires efficient systems, in terms of performance, power and predictability, that are able to deliver video content with desired Quality of Experience (QoE). High-efficiency video coding (HEVC) is one of the latest video coding standards that can achieve up to 50% bitrate reduction when compared to the previous standard Advanced Video Coding (AVC) [2]. However, the computational complexity and resource requirements of HEVC are increased by up to 10 times [3]. To deal with the increased computational complexity it is necessary to intelligently utilize all software and hardware components of the system. Although software algorithms can lead to significant improvements, heterogeneous accelerator-based architectures on high performance computers can drastically improve power-performance ratio of the system, so their analysis and exploitation, especially for large-scale video content providers are necessary.
A New Low Complexity Bit-truncation Based Motion Estimation and Its Efficient VLSI Architecture
Published in IETE Journal of Research, 2021
Sravan K. Vittapu, Souvik Kundu, Sumit K. Chatterjee
The High-Efficiency Video Coding (HEVC) standard has been presented in 2013 [1]. HEVC provides better optimization in terms of bitrate compared to its predecessor H.264/AVC standard using advanced coding tools [1]. For the video sequences of large frame size, i.e. Ultra High Definition (UHD) videos, better coding efficiency is achieved by HEVC compared to its predecessor H.264/AVC standard. In HEVC, the increase in the coding efficiency increases the computational complexity and thus making HEVC more complex than H.264/AVC [2]. Therefore, H.264/AVC standard is best suited for real-time low-end electronic gadgets like mobile phones with limited battery capacity compared to HEVC since both video coding standards shows similar performance [2].