Media coding for the next generation mobile system LTE

Järvinen, Kari; Bouazizi, Imed; Laaksonen, Laura; Ojala, P.; Rämö, Anssi

doi:10.1016/j.comcom.2010.04.019

Cited by 22 publications

(5 citation statements)

References 4 publications

(5 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example using a seven scale ACR was found out to give more accurate results than five scale assessment in an independent study [27]. By coincidence test results with narrowband characteristics often hit the traditional MOS range of 1-5 [28] [29]. The listening test procedure and result description is similar to that used for speech codec evaluations in [30], and [31].…”

Section: Extended Range Acr 9-scale Methodsmentioning

confidence: 99%

EVS Channel Aware Mode Robustness to Frame Erasures

Rämö

Kurittu²,

Toukomaa

2016

Interspeech 2016

Self Cite

View full text Add to dashboard Cite

This paper discusses the voice and audio quality characteristics of the EVS, the recently standardized 3GPP Enhanced Voice Services codec. Especially frame erasure conditions with and without channel aware mode were evaluated. The test consisted of two extended range MOS listening tests. The tests contained both clean and noisy speech in clean channel as well as with four frame erasure rates (5%, 10%, 20% and 30%) for selected codecs and bitrates. In addition to subjective test results some additional objective results are presented. The results show that EVS channel aware mode performs better than EVS native mode in high FER rates. For comparison also AMR, AMR-WB and Opus codecs were included to the listening tests.

show abstract

Section: Extended Range Acr 9-scale Methodsmentioning

confidence: 99%

EVS Channel Aware Mode Robustness to Frame Erasures

Rämö

Kurittu²,

Toukomaa

2016

Interspeech 2016

Self Cite

View full text Add to dashboard Cite

show abstract

“…A graceful degradation approach for a 3GPP video service using H.264/AVC temporal scalability is presented in [10]. Audio and video media coding standards for LTE are discussed in [14].…”

Section: Related Workmentioning

confidence: 99%

H.264/AVC-to-SVC temporal video transcoder for video broadcasting in wireless networks

Garrido-Cantos

Cock

Martínez

et al. 2014

Multimed Tools Appl

View full text Add to dashboard Cite

Over the last few decades multimedia usage has changed dramatically, with networks and terminals of diverse bandwidths and capabilities coexisting. To ensure a good quality of experience, this diverse environment requires adaptability of the video stream. If video streams were compressed using Scalable Video Coding (SVC) schemes, they would be able to adapt to these heterogeneous networks and a wide range of terminals. However, since the majority of multimedia contents are compressed using H.264/AVC, they cannot benefit from this scalability. This paper makes some proposals for improving a temporal H.264/AVC-to-SVC video transcoder so that it can convert an H.264/AVC bitstream without scalability to scalable bitstreams with temporal scalability. The idea behind the proposed transcoder is to accelerate interprediction, focusing on reducing the coding complexity of the mode decision and motion estimation tasks of the encoder stage by using information available after the H.264/AVC decoding stage. To accelerate the mode decision task, a decision tree for narrowing down the Macroblock (MB) types to be checked by the SVC encoder has been developed. On the other hand, to accelerate the motion estimation task, a reduced area is created dynamically for every MB and sub-MB. Moreover, time savings increase considerably when both proposals are adjusted to work together, as opposed to doing so in an isolated way. The results show that when our joint proposal is applied, the complexity is reduced by 98 % while maintaining coding efficiency

show abstract

“…Standards activities are still being pushed forward aggressively today, with efforts on combined voice/audio coding, called fullband coding as later elaborated, recently being established or currently being pursued. Included in these standards are the USAC codec [71], the Opus codec [83], and the Enhanced Voice Standard (EVS) codec for Long Term Evolution (LTE) digital cellular [54]. Interestingly, new standards for speech coding have never been driven by rate distortion bounds that show the existence of better rate/distortion operating points.…”

Section: Voice Codecsmentioning

confidence: 99%

Rate Distortion Bounds for Voice and Video

Gibson

2014

FNT in Communications and Information Theory

View full text Add to dashboard Cite

Numerous voice, still image, audio, and video compression standards have been developed over the last 25 years, and significant advances in the state of the art have been achieved. However, in the more than years since Shannon's seminal 1959 paper, no rate distortion bounds for voice and video have been forthcoming. In this volume, we present the first rate distortion bounds for voice and video that actually lower bound the operational rate distortion performance of the best-performing voice and video codecs. The bounds indicate that improvements in rate distortion performance of approximately 50% over the best-performing voice and video codecs are possible. Research directions to improve the new bounds are discussed.

show abstract

Media coding for the next generation mobile system LTE

Cited by 22 publications

References 4 publications

EVS Channel Aware Mode Robustness to Frame Erasures

EVS Channel Aware Mode Robustness to Frame Erasures

H.264/AVC-to-SVC temporal video transcoder for video broadcasting in wireless networks

Rate Distortion Bounds for Voice and Video

Contact Info

Product

Resources

About