Video Compression Techniques: An Overview

Abomhara, Mohamed; Khalifa, Othman Omran; Zakaria, Omar; Zaidan, A. A.; Zaidan, B. B.; Rame, A.

doi:10.3923/jas.2010.1834.1840

Cited by 25 publications

(13 citation statements)

References 16 publications

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“…MPEG-1 is the first public standard for the Motion Picture Experts Group committee and it was approved in November 1991. MPEG-1 frames are encoded in three different methods (ACC, 2008;Abomhara et al, 2010):…”

Section: Motion Picture Experts Group -1 (Mpeg-1)mentioning

confidence: 99%

“…The decoding process should begin with an I-frame, which can be decoded independently, while P-and B-frames must be decoded together with current reference image(s) (ACC, 2008). By the way, MPEG-1 was suitable for video on digital storage media (i.e., VCDROM) (Abomhara et al, 2010;Jian-Wen et al, 2006).…”

Section: Motion Picture Experts Group -1 (Mpeg-1)mentioning

confidence: 99%

“…Furthermore, DVD movies compression technique was based on MPEG-2. However, MPEG-2 is not designed for video applications through the Internet as it requires too much bandwidth (ACC, 2008;Abomhara et al, 2010;Jian-Wen et al, 2006;Tosun, 2009;Puri et al, 2004).…”

Section: Motion Picture Experts Group -2 (Mpeg-2)mentioning

confidence: 99%

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State of the Art on Video Streaming and Applications

Hasan¹,

Zanbouri²

2018

Journal of Computer Science

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The real-time and live video streaming are playing an important role in our daily lives; therefore enhancing the quality of realtime and live video streaming over wired and wireless packet erasure networks which becomes more and more important topic nowadays. The main objective of this tutorial paper is to highlight state of the art on video streaming and the most important methods for enhancing video streaming over wired and wireless packet erasure networks to the computer/communication engineering students and new researchers. Firstly, it presents an overview of layered coding compression techniques (like: H.264/SVC) which lead to better real-time video streaming quality than single layer coding techniques (like: H.264/AVC). Secondly, it highlights how to solve the channel errors and lost packets problems in video streaming via implementing some of Forward Error Correction (FEC) techniques. Furthermore, it presents Backward Error Correction (BEC) techniques for enhancing the video streaming. After that it talks about the implementation of rateless FEC techniques with feedback for solving the real-time and live video streaming issues. Then it presents some recent researches on the Unequal Error (or Loss) Protection (UEP) techniques which are more powerful and achieve better Peak Signal to Noise Rate (PSNR) than the previous Equal Error Protection (EEP) techniques. Also it highlights the adaptive UEP scheme which brings significant improvements in terms of average PSNR over static UEP scheme for same used bandwidth. Furthermore, it talks about the multipath video streaming which leads to better loss characteristics and better load distribution on wireless networks than the single path video streaming. Finally, it presents some recent researches that based on hybrid solution of rateless FEC and advanced BEC techniques for enhancing the real-time and live video streaming quality over 3G, Wi-Fi and WiMAX wireless networks.

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Section: Motion Picture Experts Group -1 (Mpeg-1)mentioning

confidence: 99%

Section: Motion Picture Experts Group -1 (Mpeg-1)mentioning

confidence: 99%

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State of the Art on Video Streaming and Applications

Hasan¹,

Zanbouri²

2018

Journal of Computer Science

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“…The dataset for the study consisted of the original (uncompressed) motion imagery clips and clips compressed by three compression methods at various compression rates (Abomhara et al 2010). The three compression methods were:…”

Section: Data Compressionmentioning

confidence: 99%

Quantifying Interpretability Loss due to Image Compression

Irvine¹,

Israel²

2012

Video Compression

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“…Meticulously, the intra-frame coding ratio represents how far the current I-frame is from the subsequent one, whereas higher distance indicates having high video quality and low compression rate (i.e. high bit rate) [10,12]. Similarly, the distance between the P-frame and its preceding I-frame or P-frame illustrates the inter-frame coding ratio.…”

mentioning

confidence: 99%

New video discarding policies for improving UDP performance over wired/wireless networks

2015

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SUMMARYMultimedia communication over wired and wireless networks becomes a compulsory need for many recent applications. To effectively react to the tremendous demand of video streaming over the Internet, videos are usually compressed by utilizing spatial and temporal redundancy. It is noteworthy to mention that compressing videos may degrade their quality if it is not investigated properly. In other words, as a consequence of exploiting redundancies, frame dependencies emanate, which make discarding frames, because of occupying the whole capacity of network elements, have severe implications on the video quality. Furthermore, transmitting videos over capacity-limited links owing to error-prone channels, power constraints and bandwidth variations will severely affect the video quality. Additionally, as the current coding schemes are characterized by being able to afford high compression efficiency, sensitivity to packet losses becomes untolerated. Therefore, insuring the perceived quality of the delivered videos to be always high in spite of aforementioned challenges is the primary focus of current researchers. In this paper, we propose efficient and novel video discarding policies that mainly aim to reduce the number of frames being lost through substitution of those frames that are very difficult or even impossible to decode at the receiver side. This is accomplished by controlling and maintaining the buffer occupancy of network elements. Our proposed policies are evaluated in terms of frameput, rate of non-decodable frames, peak signal-to-noise ratio, structural similarity index and average buffer occupancy. Our proposed policies behave very well and achieve a remarkable enhancement over what is closely connected in the literature.

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Video Compression Techniques: An Overview

Cited by 25 publications

References 16 publications

State of the Art on Video Streaming and Applications

State of the Art on Video Streaming and Applications

Quantifying Interpretability Loss due to Image Compression

New video discarding policies for improving UDP performance over wired/wireless networks

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