Video streaming evaluation Of H.264 SVC on IEEE 802.11g wireless network

Scalable video coding (SVC) is gaining great interest because of its ability and scalability to adapt in various conditions of network. The term of scalability is referring to the removal of parts of the video bitstream in order to adapt it to the various needs or preferences of end users as well as to varying terminal capabilities or network conditions. SVC allows partial transmission and decoding of a bitstream [1]. It contains the base layer and the enhancement layers. The base layer should be transmitted with very high reliability. On the other hand, the enhancement layers might be dropped or only transmitted partially according to the available network bitrates [2, 3]. This allows very fast and accurate network adaptation to variable bit rate channel

Multilayers fast mode decision algorithm for scalable video coding: design, implementation, and streaming evaluation on IEEE 802.11g wireless LAN

Nowadays the advancement of technologies has reached the massive growth and commercial success in multimedia and mobile communication. The advancement and development in video coding technology, together with the increase of storage capacity network infrastructures and computing power are enabling an increasing number of video applications. Scalable video coding (SVC) is the extension of H.264/AVC standard. The features in SVC are also developed from the H.264/AVC standard, so that SVC has more features compared to H.264/AVC standard. This provides higher coding complexity in SVC encoder which causes higher encoding time for SVC. SVC is gaining great interest because of its ability and scalability to adapt in various network conditions. SVC allows partial transmission and decoding of a bitstream. This research deals with fast mode decision algorithm for decreasing encoding time or fastening the mode decision process of the SVC encoder. Moreover, the performance of SVC over wireless network will be evaluated. The simulation tools can be of great help for a better understanding of the streaming analysis over the network. Hence, this research utilizes Scalable Video Evaluation Framework (SVEF). The fast mode decision scheme has been implemented and successfully decreased encoding time with negligible loss of quality and bitrate requirement. The streaming simulation has also been performed using the SVEF simulator. The simulation result shows the proposed fast mode decision algorithm provides time saving up to 45 % while maintaining video quality with negligible PSNR loss. For the streaming video, the received packets on the receiver can be reconstructed on maintained video quality with also negligible PSNR loss

Fast mode decision algorithm

Fast mode decision is the developed algorithm intended for selectively choosing the mode decision used by the encoder. The default is the scalable video coding model \vhich is represented by Joint Scalable Video Model (JSVM). It has many mode decisions which are involved during the encoding process. The mode decisions are applied for motion prediction, either intra or inter prediction. Mode decisions in scalable video coding are the features which are available in previous video coding standard and some added features which are in line \vith scalabilit

Towards Malaysian sign language database

Sign language is the verbal language for the people who have hearing impairment. Those people who have those kinds of problems are widely known as the deaf people. Basically the word of deaf is referred into two; the Deaf (with capital D) is the hearing impairment person who understands sign language and the deaf (with small d) is the person who does not have capability in understanding the sign language. In this article, the "deaf' (with small d) will be used to cover the entire people with hearing impairment and disabilit

Scalable video coding : a review

Scalable video coding (SVC) is classified as layered video codec which is the extension of H.264/AVC standard [I, 2]. SVC based layered video coding is suitable for different usecases and different bitstream e.g., supporting heterogeneous devices with a single, scalable bitstream. Such a stream allows for delivering a decode-able and presentable quality of the video depending on the device capabilities. In terms of spatiotemporal and quality, scalability of SVC is referred as a functionality that allows the removal of par1s of the bit-stream while achieving a reasonable coding efficiency of the decoded video at reduced temporal, Signal to Noise Ratio (SNR), or spatial resolution [3]. The three different types of scalability, i.e. CGS, MGS, and FGS, can be combined in order that the single scalable bitstream can support multitude of representations with different spatiotemporal resolutions and bit rates. The efficient scalable video coding provides benefits in many applications [3-5]

JSVM reference software

There are some video standards that are used in the digital life. The video standard is used for respective purposes such as storage, video streaming, or video transmission. In order to encode the video files into some specific standard video, the video encoder software is required to perform the video processing. For the well-established video coding standard, the video encoder software is coming on ready used software packages. But for SVC, as an ongoing video standard, the available encoder software is the reference software which can be modified and teste

A survey on video segmentation for real-time applications

Video object segmentation is to extract moving and static objects from consecutive video frames. It is a prerequisite for visual content retrieval (e.g., MPEG-7 related schemes), objectbased compression and coding (e.g., MPEG-4 codecs), object recognition, object tracking, security video surveillance, traffic monitoring for law enforcement, and many other application

Multilayers Fast Mode Decision Algorithms for Scalable Video Coding

Abstract: Scalable video coding (SVC) is the extension of H.264/AVC standard. The features in SVC are also developed from the H.264/AVC standard, so that SVC has more features compared to H.264/AVC standard. This provides higher coding complexity in SVC encoder which causes higher encoding time for SVC. SVC is gaining great interest because of its ability and scalability to adapt in various network conditions. SVC allows partial transmission and decoding of a bitstream. This research deals with multilayers fast mode decision algorithm for decreasing encoding time or fastening the mode decision process of the SVC encoder. The proposed fast mode decision scheme has been implemented and is successfully decrease encoding time with negligible loss of quality and bitrate requirement. The simulation result shows the proposed fast mode decision algorithm provides time saving up to 45 % while maintaining video quality with negligible PSNR loss

Complexity algorithm analysis for edit distance

Natural Language Processing (NLP) is a method which works on any language processing. Some of the algorithms are based on edit distance analysis. It is a process where the statistical calculations between two words or sentences are analyzed. Some of used edit distances for NLP are Levenshtein, Jaro Wrinkler, Soundex, N-grams, and Mahalanobis. The evaluation of edit distance is aimed to analyze the processing time of each edit distance in calculation of two different words or sentences. The objective of this paper is to evaluate the complexity of each distance, based on the time process