Decoding H.264/AVC using prior information and source constraints

The H.264/AVC standard employs a number of errorresilient mechanisms to correct transmission errors. These methods assume a packet-loss scenario, where all the macroblocks (MBs) contained within a corrupted slice are dropped and concealed. However, most of the MBs contained within corrupted slices provide minimal (if any) visual distortions and therefore concealing them causes a superfluous drop in the quality of the recovered video content. This paper presents a novel error control mechanism which employs prior information and residual source-redundancy to recover the most-likelihood feasible H.264/AVC bitstream. Simulation results show that the algorithm recovers a number of corrupted sequences and achieves overall Peak Signal-to-Noise Ratio (PSNR) gains between 1dB and 2dB over the standard. The proposed solution is compatible with the H.264/AVC with no additional bandwidth requirements.peer-reviewe

Effect of Wideband Wireless Access Systems Interference Robustness on the Quality of Video Streaming

The transmission of audio and video streaming services over different conduits (wireless access systems, Internet, etc.) is becoming ever more popular. This widespread increase is accompanied by the attendant new and difficult task of maintaining the quality of service of streaming video. The use of very accurate coding techniques for transmissions over wireless networks alone cannot guarantee a complete eradication of distortions characteristic of the video signal. A software-hardware composite system has been developed for investigating the effect of single bit error and bit packet errors in wideband wireless access systems on the quality of H.264/AVC standard bursty video streams. Numerical results of the modeling and analysis of the effect of interference robustness on quality of video streaming are presented and discussed

Improving motion vector prediction using linear regression

The motion vectors take a large portion of the H.264/AVC encoded bitstream. This video coding standard employs predictive coding to minimize the amount of motion vector information to be transmitted. However, the motion vectors still accounts for around 40% of the transmitted bitstream, which suggests further research in this area. This paper presents an algorithm which employs a feature selection process to select the neighboring motion vectors which are most suitable to predict the motion vectors mv being encoded. The selected motion vectors are then used to approximate mv using Linear Regression. Simulation results have indicated a reduction in Mean Squared Error (MSE) of around 22% which results in reducing the residual error of the predictive coded motion vectors. This suggests that higher compression efficiencies can be achieved using the proposed Linear Regression based motion vector predictor.peer-reviewe

Evaluate the Performance of Video Transmission Using H.264 (SVC) Over Long Term Evolution (LTE)

In recent years, the mobile Internet has increased dramatically with the development of 3G and 4G technologies. Especially th e usage of mobile broadband internet on the devices like cellular mobiles, Tablets and Laptops has skyrocketed. Among the multimedia applications video streaming is the most popular mobile application. But, making these services available to users in a cost effective way without compromising quality is a big challenge. The development of Long Term Evolution (LTE) technology in the mobile world made this task achievable. The features of LTE technology provide effective services in multimedia applications with high data rates and low latency. The aim of this paper is to evaluate the quality of service (QoS) performance over LTE

Perancangan Codec Berbasis Algoritma Kompresi H.264 untuk Aplikasi Konferensi Video

Dewasa ini, banyak aplikasi yang dibuat dengan melibatkan fitur multimedia. Salah satu aplikasi tersebut adalah aplikasi konferensi, yaitu komunikasi yang dilakukan oleh suatu group yang terhubung pada suatu jaringan dengan setiap anggota group dapat saling melihat anggota yang lain melalui fasilitas video yang direkam menggunakan sebuah piranti webcam. Dalam komunikasi video, dibutuhkan bandwidth yang cukup besar karena ukuran data video yang jauh lebih besar dibandingkan data suara. Untuk menyiasati hal tersebut, maka dilakukan kompresi pada video sebelum ditransmisikan. Dengan adanya kompresi, maka ukuran data video yang akan ditransmisikan menjadi lebih kecil sehingga dapat menghemat bandwidth saat transmisi data berlangsung. Dalam penelitian ini dirancang codec yang mengadopsi standar kompresi video H.264. Selanjutnya dianalisis kualitas video hasil kompresi meliputi : rasio kompresi, Peak Signal-to-Noise Ratio (PSNR), dan Mean Opinion Score (MOS). Selain itu, juga dianalisis pengaruh kompresi video terhadap kinerja aplikasi konferensi video. Dari hasil penelitian yang dilakukan, didapatkan hasil bahwa dengan adanya kompresi H.264 menghasilkan bitrate video yang rendah dengan penurunan mencapai 98.7% (1:77) hingga 99.52% (1:208) dengan sedikit pengurangan kualitas yang masih dapat ditoleransi

Combined Scalable Video Coding Method for Wireless Transmission

Mobile video streaming is one of multimedia services that has developed very rapidly. Recently, bandwidth utilization for wireless transmission is the main problem in the field of multimedia communications. In this research, we offer a combination of scalable methods as the most attractive solution to this problem. Scalable method for wireless communication should adapt to input video sequence. Standard ITU (International Telecommunication Union) - Joint Scalable Video Model (JSVM) is employed to produce combined scalable video coding (CSVC) method that match the required quality of video streaming services for wireless transmission. The investigation in this paper shows that combined scalable technique outperforms the non-scalable one, in using bit rate capacity at certain layer

I'm sorry to say, but your understanding of image processing fundamentals is absolutely wrong

The ongoing discussion whether modern vision systems have to be viewed as visually-enabled cognitive systems or cognitively-enabled vision systems is groundless, because perceptual and cognitive faculties of vision are separate components of human (and consequently, artificial) information processing system modeling.Comment: To be published as chapter 5 in "Frontiers in Brain, Vision and AI", I-TECH Publisher, Viena, 200