The Use of Asymmetric Numeral Systems Entropy Encoding in Video Compression

2019 ◽  
pp. 125-139
Author(s):  
Fedor Konstantinov ◽  
Gennady Gryzov ◽  
Kirill Bystrov
Keyword(s):  
Video Compression ◽  
Numeral Systems ◽  
Entropy Encoding

DESIGN AND IMPLEMENTATION OF WAVELET-DOMAIN VIDEO COMPRESSION USING MULTIRESOLUTION MOTION ESTIMATION AND COMPENSATION

2006 ◽  
Vol 06 (04) ◽  
pp. 533-549
Author(s):  
WEITING CAI ◽  
MALEK ADJOUADI
Keyword(s):  
Motion Estimation ◽  
Video Compression ◽  
Discrete Wavelet ◽  
Wavelet Domain ◽  
Blocking Artifacts ◽  
Bandwidth Utilization ◽  
Video Codecs ◽  
Block Based ◽  
Entropy Encoding ◽  
Multiresolution Motion Estimation

Video compression techniques have been applied routinely in order to conserve storage space and minimize bandwidth utilization in various video applications. To reduce inter-pixel redundancies inside and between video frames, video codecs (coder/decoder or compression/decompression) are mainly characterized by applying motion estimation and motion compensation (MEMC) in combination with discrete cosine transform (DCT). However, blocking artifacts are obvious from the block-based motion estimation and transformation, especially at low bit rates. Due to the intrinsic advantages of multiresolution and scalability of discrete wavelet transform (DWT), video compression techniques have been infused with exciting prospects by the beneficial integration of motion estimation and wavelet transformation. The contributions of this paper are in (1) proposing a design architecture of the wavelet-domain encoder and decoder; (2) implementing the multiresolution motion estimation and compensation method; and in (3) realizing the dynamic entropy encoding and decoding, so as to achieve more efficient video compression than the conventional spatial domain methods for low bit rate applications without the annoying blocking artifacts.

Modern Technology for Image processing and Computer vision -A Review

2018 ◽  
Vol 1 (2) ◽  
pp. 17-23
Author(s):  
Takialddin Al Smadi
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Augmented Reality ◽  
Video Compression ◽  
Video Processing ◽  
Vision System ◽  
Citrus Fruit ◽  
Modern Technology ◽  
Image And Video Processing ◽  
Depth Video

This survey outlines the use of computer vision in Image and video processing in multidisciplinary applications; either in academia or industry, which are active in this field.The scope of this paper covers the theoretical and practical aspects in image and video processing in addition of computer vision, from essential research to evolution of application.In this paper a various subjects of image processing and computer vision will be demonstrated ,these subjects are spanned from the evolution of mobile augmented reality (MAR) applications, to augmented reality under 3D modeling and real time depth imaging, video processing algorithms will be discussed to get higher depth video compression, beside that in the field of mobile platform an automatic computer vision system for citrus fruit has been implemented ,where the Bayesian classification with Boundary Growing to detect the text in the video scene. Also the paper illustrates the usability of the handed interactive method to the portable projector based on augmented reality.   © 2018 JASET, International Scholars and Researchers Association

An Improved Method to CABAC in the H.264/AVC Video Compression Standard

2009 ◽  
Vol E92-A (12) ◽  
pp. 3355-3360
Author(s):  
LeThanh HA ◽  
Chun-Su PARK ◽  
Seung-Won JUNG ◽  
Sung-Jea KO
Keyword(s):  
Video Compression ◽  
Improved Method

Temporal Drift Correction of Residues for Perceptually Based Video Compression

2016 ◽  
Vol 2016 (1) ◽  
pp. 27-31
Author(s):  
MarkQ. Shaw ◽  
JanP. Allebach ◽  
EdwardJ. Delp
Keyword(s):  
Video Compression ◽  
Drift Correction

IMPLEMENTASI ALGORITMA LEVENSTEIN UNTUK KOMPRESI FILE VIDEO PADA APLIKASI CHATTING BERBASIS ANDROID

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Dani Iqbal
Keyword(s):  
Video Compression ◽  
Communication Tool ◽  
Time Restrictions ◽  
Speed Up ◽  
Predetermined Number

Technology is developing very rapidly along with the needs of the community in obtaining information quickly. Chat application as a communication tool that can help communicate without any time restrictions and is free from obstacles. But in communicating through chat applications can not be free or free in communicating in general. Where the chat application has a predetermined number of bits, so that in sending video on the chat application can not be at once but in several times the transmission. The solution to this problem is how the video can be compressed in order to speed up the process of sending and storing video files. compression on video files is done by reducing the size of the video by the process of reducing the bits in the video, but does not eliminate the data information in it. In this study, the algorithm used is Levenstein, using this method, the compression results from the Levenstein value have different results from each value, and the compression results will be advantageous in sending and transferring video files.Keywords: Video Compression, Levenstein Algorithm, Chatting Application

Enhancing Visual Quality of Multi-view 360 Video Compression Pipeline

2019 ◽  
pp. 135
Author(s):  
Junyoung Yun ◽  
Hong-Chang Shin ◽  
Gwangsoon Lee ◽  
Jong-Il Park
Keyword(s):  
Video Compression ◽  
Visual Quality

Scalable and Robust Video Compression

2000 ◽  
Author(s):  
John W. Woods
Keyword(s):  
Video Compression
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