Least Square Intra-Prediction Mode Prediction Based Video Compression

2018 ◽  
Author(s):  
Lalit K. Jiwani
Keyword(s):  
Video Compression ◽  
Intra Prediction ◽  
Least Square ◽  
Prediction Mode

Fast Search for Intra Prediction Mode in H.265/HEVC Video Compression

2016 ◽  
Vol 685 ◽  
pp. 897-901
Author(s):  
Maxim P. Sharabayko ◽  
Nikolay G. Markov
Keyword(s):  
Computational Complexity ◽  
Video Compression ◽  
Chemical Engineering ◽  
Intra Prediction ◽  
Compression Rate ◽  
High Complexity ◽  
High Demand ◽  
Fast Search ◽  
Industrial Implementation ◽  
Prediction Mode

Mechanical engineering, chemical engineering and other industries have a high demand for the video compression systems that are used, e.g., in CCTV and video sensing. The newest video compression standard H.265/HEVC provides the compression rate of 100–300 times to the uncompressed video. The side effect is the increase of a computational complexity of the compression system. This high complexity obstructs the industrial implementation of H.265/HEVC video compression systems. One of the main objectives is to reduce intra compression complexity. In this paper, we present our algorithm of a fast search for intra prediction mode in H.265/HEVC video compression. The algorithm on average provides only 1.9% bitrate increase with 41% timesaving.

Adaptive Intra Prediction Mode Signaling Approach in H.264/AVC

2014 ◽  
Vol E97.B (9) ◽  
pp. 1990-1999
Author(s):  
Kibaek KIM ◽  
Gwanggil JEON ◽  
Jechang JEONG
Keyword(s):  
Intra Prediction ◽  
Prediction Mode

Research and Implementation of Fast Algorithm for Intra Prediction Mode Selection Oriented to Hardware

2019 ◽  
Vol 31 (1) ◽  
pp. 158
Author(s):  
Xiuzhi Yang ◽  
Min Zhao ◽  
Longzhao Shi ◽  
Zhifeng Chen ◽  
Mingkui Zheng
Keyword(s):  
Fast Algorithm ◽  
Mode Selection ◽  
Intra Prediction ◽  
Prediction Mode

A Research of Intra Prediction Coding with Variance of Prediction Mode Number

2015 ◽  
Vol 719-720 ◽  
pp. 1177-1183
Author(s):  
Wei Zheng ◽  
Long Ye ◽  
Jing Ling Wang ◽  
Qin Zhang
Keyword(s):  
State Of The Art ◽  
Intra Prediction ◽  
Mode Number ◽  
Bit Rate ◽  
Rate Reduction ◽  
Directional Information ◽  
Mode Index ◽  
Residual Image ◽  
Prediction Mode ◽  
Direction Information

Intra prediction is a key step in H.264/AVC to improve the coding performance with the idea that removing the directional redundancy among neighboring blocks. In order to cover more directional information existed in the image frames, there are usually many prediction modes can be selected in the state-of-the-art coding frameworks, but more bits are also needed to encode the prediction mode index information, then how to achieve the maximum overall bit-rate reduction became a problem. In this paper, 16 kinds of prediction modes are adopted by considering the direction information for 8x8 image blocks. Through calculating the bit-rate both for the mode index and residual image under different number of prediction modes, we obtain the most suitable prediction mode number relatively from the graphs. Experimental results show that, with the increase of prediction mode number, the residual information decreases obviously, and the sum of residual information and prediction mode index information also decreases but levels off after reaching a certain mode number, even has an obviously rising trend.

An Improved Object-Based Video Segmentation Method

2012 ◽  
Vol 220-223 ◽  
pp. 2445-2449
Author(s):  
Wen Dan Xu ◽  
Xin Quan Lai ◽  
Dong Lai Xu
Keyword(s):  
Motion Estimation ◽  
Video Compression ◽  
High Performance ◽  
Video Segmentation ◽  
Error Function ◽  
Least Square ◽  
Video Frame ◽  
Merging Process ◽  
Initial Segmentation ◽  
Two Stages

This paper presents an improved video segmentation scheme, which consists of two stages: initial segmentation and motion estimation. In the initial segmentation, the watershed transformation followed by a region adjacency graph guided region merging process is used to partition the first video frame into spatial homogenous regions. Then the motion of changed region is estimated. Based on the highly efficient quadratic motion model, the motion estimation is undertaken using Gauss-Newton Levenberg-Marquardt method to minimize the least-square error function. Experimental results show the proposed scheme provides high performance in terms of segmentation accuracy and video compression ratio.

Fuzzy Holoentropy-Based Adaptive Inter-Prediction Mode Selection for H.264 Video Coding

2019 ◽  
Vol 10 (2) ◽  
pp. 42-60
Author(s):  
Srinivas Bachu ◽  
N. Ramya Teja
Keyword(s):  
Video Coding ◽  
Video Compression ◽  
High Performance ◽  
Mode Selection ◽  
Rate Distortion ◽  
Computation Time ◽  
Exhaustive Search ◽  
Inter Prediction ◽  
Major Drawback ◽  
Prediction Mode

Due to the advancement of multimedia and its requirement of communication over the network, video compression has received much attention among the researchers. One of the popular video codings is scalable video coding, referred to as H.264/AVC standard. The major drawback in the H.264 is that it performs the exhaustive search over the interlayer prediction to gain the best rate-distortion performance. To reduce the computation overhead due to exhaustive search on mode prediction process, this paper presents a new technique for inter prediction mode selection based on the fuzzy holoentropy. This proposed scheme utilizes the pixel values and probabilistic distribution of pixel symbols to decide the mode. The adaptive mode selection is introduced here by analyzing the pixel values of the current block to be coded with those of a motion compensated reference block using fuzzy holoentropy. The adaptively selected mode decision can reduce the computation time without affecting the visual quality of frames. Experimentation of the proposed scheme is evaluated by utilizing five videos, and from the analysis, it is evident that proposed scheme has overall high performance with values of 41.367 dB and 0.992 for PSNR and SSIM respectively.

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