Video compression plays a vital part in many digital video processing for applications such as digital video transmission, also thousands of websites like YouTube, Netflix etc. that requires large storage space. Video compression technologies are about reducing and removing redundant video data so that a digital video file can be effectively sent over a network or can be put in storage on compu...

The performance of video transmission over wireless channels is limited by the channel noise. Thus many error resilience tools have been incorporated into the MPEG-4 video compression method. In addition to these tools, the unequal error protection (UEP) technique has been proposed to protect the different parts in an MPEG-4 video packet with different channel coding rates based on the rate...

Recent advances in high-performance portable processing equipment, such as mobile pro‐ cessors, have enabled users to experience new-generation devices, including networked gaming consuls, smart televisions and smart phones. Video coding, video compression and video communication are essential parts of the aforementioned applications. However, networking infrastructures do not offer unlimited b...

This document deals with the issues of video compression. The algorithm, which is used by the MPEG standards, will be elucidated upon in order to explain video compression. Only visual compression will be discussed (no audio compression). References and links to further readings will be provided in the text. What is compression? Compression is a reversible conversion (encoding) of data that con...

ideo signals used to deliver IPTV and Internet video are always compressed. Comression means reducing the number of bits required to represent the video image. his is an important topic because choosing a suitable compression method can ometimes mean the diff6rence between the success and failure of a video networking project. This chapter begins by explaining the reasons for compression and lo...

Delivery of video in the presence of bandwidth constraints is one of the most important video compression problems. In this work, the preprocessing for video compression is started by extracting any video format into raw data format and applying float wavelet transform on each frame. This step provides the video frames to perform an adaptive quantization in a frequency domain. This leads to red...

This study presents a visual attention model for determining image areas to receive different extents of video compression in order to minimize perceived program artefacts whilst maximizing the compression possible. The model integrates features related to motion with existing video image compression algorithms. The proposed visual attention model extracts the color, intensity, textural, and mo...

To achieve optimal video quality under bandwidth and power constraints, modern video coding techniques employ lossy coding schemes, which often create compression artifacts that may lead to degradation of perceptual video quality. Understanding and quantifying such perceptual artifacts play important roles in the development of effective video compression, streaming and quality enhancement syst...

Wireless video-surveillance networks are gaining increasing popularity due to the number of applications they make possible to carry out. In this paper, we address the problem of designing a wireless video-surveillance network so as to optimize its performance. In particular, we investigate the possible trade-offs between energy consumption and image quality. We provide simulation results showi...

This letter presents a variable bit-rate encoding scheme developed for digital video compression based on spatiotemporal decomposition and vector quantization. This encoding scheme exploits the interframe redundancy present in image sequences by employing replenishment of code-vector labels. The experiments indicated that code-vector label replenishment results in a significant reduction of the...