Figure - available from: Multimedia Tools and Applications
This content is subject to copyright. Terms and conditions apply.
Source publication
In this paper, a novel content based video quality prediction model for High Efficiency Video Coding (HEVC) encoded video stream is proposed, which takes into account the quantization parameter (QP) and the newly proposed content type classification (CTC) metric. The CTC metric is derived by combining different types of information extracted from t...
Similar publications
High efficiency video coding (HEVC) adopts a new hierarchical coding structure including coding unit (CU), prediction
unit (PU) and transform unit (TU) to achieve higher coding efficiency than its predecessor H.264/AVC high profile. However, its hierarchical unit partitioning strategy leads to huge computational complexity. In this paper, an adapti...
3D-high efficiency video coding (3D-HEVC) is the next-generation compression standard for multiview system applications, which has recently been approved by MPEG and VCEG as an extension of HEVC. To improve the compression efficiency of depth map, several compression tools have been developed for a better representation depth edges. These supplemen...
Compared with High Efficiency Video Coding (HEVC), the latest video coding standard Versatile Video Coding Standard (VVC), due to the introduction of many novel technologies and the introduction of the Quad-tree with nested Multi-type Tree (QTMT) division scheme in the block division method, the coding quality has been greatly improved. Due to the...
VVC currently under development is the latest video coding standard. VVC adopts many new coding technology or improve the original technology to enhance the coding efficiency on the basis of HEVC, at the cost of significantly increased computational complexity, which limits the industrialization and application of the VVC. To address this issue, an...
Scalable High Efficiency Video Coding (SHVC) has aggregated an exhaustive algorithm for mode decision based on a recursive quad-tree structure coding unit. However, this comes at the cost of high computational complexity. Therefore, in order to improve the SHVC in terms of encoding time, fast inter-mode decision algorithms for spatial scalability w...
Citations
... The performance of traditional learning-based methods relies heavily on the effectiveness of hand-crafted features. In [36], content-aware features were measured to predict the encoding quality in terms of PSNR. In [37], several types of features including spatial-temporal information and chrominance information were involved to predict RD category with five multi-class classifiers, and Random Forest achieved the optimal classification performance. ...
Video compression plays an essential role in many multimedia applications, and compression efficiency is highly related to video content. In this paper, based on video content characteristics, we propose a content adaptive downsampling scheme to improve video coding efficiency at a low bitrate. Specifically, we extract content-aware spatial-temporal features including normalized Spatial Information (SI), normalized Temporal Information (TI), and spatial masking as the perceptual features. Then, Support Vector Machine (SVM) is adopted to predict the optimal coding configuration for the video, i.e., direct encoding or downsample encoding. Experimental results show that the proposed method achieves considerable bitrate savings for video sequences at different resolutions with low computational complexity.
