Name
Title | ||
|---|---|---|
A novel approach for characterizing multimedia 3D video streams by means of quasiperiodic processes. |
Abstract | ||
|---|---|---|
This work proposes a novel methodology to describe the low-frequency behaviour of compressed 3D video streams, i.e., their average fluctuations on longer timescales. This study is innovative for two reasons. First, it proves that the low-frequency behaviour of the video data belongs to the class of quasiperiodic processes. Second, it proposes an innovative approach to describe the long-term behaviour through a set of parameters directly derived from the quasiperiodic analysis. Reported results show that the proposed approach is effective in a wide variety of simulation scenarios. Furthermore, it can be easily generalized to other kinds of compressed two-dimensional (2D) streams, whatever be the adopted algorithm, the compression degree, video resolution and format. This opens new unexplored possibilities in the field of 3D video characterization, identification and classification. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/s11760-016-0866-9 | Signal, Image and Video Processing |
Keywords | Field | DocType |
3D video, Quasiperiodic processes, Stream characterization, Data fitting | Computer vision,Quasiperiodic function,Display resolution,Curve fitting,Computer science,Theoretical computer science,Artificial intelligence,STREAMS,Computer engineering | Journal |
Volume | Issue | ISSN |
10 | 6 | 1863-1711 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| r nigmatullin | 1 | 3 | 2.44 |
| Domenico Striccoli | 2 | 31 | 8.13 |
| Gennaro Boggia | 3 | 1160 | 78.53 |
| Cristiano Ceglie | 4 | 11 | 2.24 |