Name
Abstract | ||
|---|---|---|
This paper discusses the problem of reduced-resolution transcoding of compressed video bitstreams. An analysis of drift errors is provided to identify the sources of quality degradation when transcoding to a lower spatial resolution. Two types of drift error are considered: a reference picture error, which has been identified in previous works, and error due to the noncommutative property of motion compensation and down-sampling, which is unique to this work. To overcome these sources of error, four novel architectures are presented. One architecture attempts to compensate for the reference picture error in the reduced resolution, while another architecture attempts to do the same in the original resolution. We present a third architecture that attempts to eliminate the second type of drift error and a final architecture that relies on an intrablock refresh method to compensate for all types of errors. In all of these architectures, a variety of macroblock level conversions are required, such as motion vector mapping and texture down-sampling. These conversions are discussed in detail. Another important issue for the transcoder is rate control. This is especially important for the intra-refresh architecture since it must find a balance between number of intrablocks used to compensate for errors and the associated rate-distortion characteristics of the low-resolution signal. The complexity and quality of the architectures are compared. Based on the results, we find that the intra-refresh architecture offers the best tradeoff between quality and complexity and is also the most flexible. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/TCSVT.2002.805509 | IEEE Trans. Circuits Syst. Video Techn. |
Keywords | Field | DocType |
drift compensation,motion compensation,rate control,lower spatial resolution,quality degradation sources,final architecture,reference picture error,architecture attempt,noncommutative property,image resolution,error analysis,intra-refresh architecture,data compression,transform coding,novel architecture,drift error,discrete cosine transforms,image sampling,low-resolution signal,video coding,reduced spatial resolution transcoding,quality degradation,dct,down-sampling,compressed video bitstreams,reduced resolution,texture down-sampling,image texture,motion vector mapping,rate-distortion characteristics,drift errors analysis,rate distortion theory,intrablock refresh method,original resolution,transcoding,video compression,down sampling,spatial resolution,sun,degradation,low resolution | Macroblock,Computer vision,Transcoding,Computer science,Motion compensation,Error detection and correction,Artificial intelligence,Systems architecture,Rate–distortion theory,Motion vector,Signal compression | Journal |
Volume | Issue | ISSN |
12 | 11 | 1051-8215 |
Citations | PageRank | References |
34 | 2.38 | 14 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peng Yin | 1 | 85 | 11.52 |
| A. Vetro | 2 | 537 | 47.74 |
| Bede Liu | 3 | 2781 | 471.81 |
| Huifang Sun | 4 | 228 | 21.96 |