Abstract
Picture coding standards have been developed and are now in position to be practically the most effective methods. However, some redundancy is found as a certain correlation for longer interval on coded bitstreams of pictures[1-5]. Entropy derived from the probability of occurrence of fixed length bit patterns in coded bitstream is investigated. A small redundancy is found for the interval with a length up to 20 bits in the tested bitstreams. Entropy for the interval with length of 30 bits on coded bitstream is difficult to be calculated because the data size exceeds available memory capacity. To reduce data size, the authors calculate entropy for sampled patterns based on an assumption that the optimum coded bitstream is a random sequence. Based on this assumption, we obtained an necessary length of coded bitstream for accuracy analysis. The analysis shows that the entropy decreases for some bitstreams, which indicates that re-encoding algorithm for bitstreams of coded picture is worth being developed.
| Original language | English |
|---|---|
| Title of host publication | 22nd Picture Coding Symposium |
| Pages | 397-400 |
| Number of pages | 4 |
| Publication status | Published - 2001 |
| Event | Proceedings of the 22nd Picture Coding Symposium: PCS-2001 - Seoul Duration: 2001 Apr 25 → 2001 Apr 27 |
Other
| Other | Proceedings of the 22nd Picture Coding Symposium: PCS-2001 |
|---|---|
| City | Seoul |
| Period | 01/4/25 → 01/4/27 |
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ASJC Scopus subject areas
- Engineering(all)
Cite this
Analysis of coded bitstream of picture - Effects of calculating accuracy. / Ohzeki, Kazuo; Shimamura, Sadaharu.
22nd Picture Coding Symposium. 2001. p. 397-400.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Analysis of coded bitstream of picture - Effects of calculating accuracy
AU - Ohzeki, Kazuo
AU - Shimamura, Sadaharu
PY - 2001
Y1 - 2001
N2 - Picture coding standards have been developed and are now in position to be practically the most effective methods. However, some redundancy is found as a certain correlation for longer interval on coded bitstreams of pictures[1-5]. Entropy derived from the probability of occurrence of fixed length bit patterns in coded bitstream is investigated. A small redundancy is found for the interval with a length up to 20 bits in the tested bitstreams. Entropy for the interval with length of 30 bits on coded bitstream is difficult to be calculated because the data size exceeds available memory capacity. To reduce data size, the authors calculate entropy for sampled patterns based on an assumption that the optimum coded bitstream is a random sequence. Based on this assumption, we obtained an necessary length of coded bitstream for accuracy analysis. The analysis shows that the entropy decreases for some bitstreams, which indicates that re-encoding algorithm for bitstreams of coded picture is worth being developed.
AB - Picture coding standards have been developed and are now in position to be practically the most effective methods. However, some redundancy is found as a certain correlation for longer interval on coded bitstreams of pictures[1-5]. Entropy derived from the probability of occurrence of fixed length bit patterns in coded bitstream is investigated. A small redundancy is found for the interval with a length up to 20 bits in the tested bitstreams. Entropy for the interval with length of 30 bits on coded bitstream is difficult to be calculated because the data size exceeds available memory capacity. To reduce data size, the authors calculate entropy for sampled patterns based on an assumption that the optimum coded bitstream is a random sequence. Based on this assumption, we obtained an necessary length of coded bitstream for accuracy analysis. The analysis shows that the entropy decreases for some bitstreams, which indicates that re-encoding algorithm for bitstreams of coded picture is worth being developed.
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UR - http://www.scopus.com/inward/citedby.url?scp=0035786693&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0035786693
SP - 397
EP - 400
BT - 22nd Picture Coding Symposium
ER -