Abstract
Large amounts of data have to be processed, transmitted and storage by modern video surveillance applications. Thus, low bit-rate video compressed algorithm is very critical. For indoor surveillance application, only motive object is the most interesting and significant part. This paper proposed a motion detection based motion estimation algorithm to achieve low bit-rate and low complexity for surveillance application. It includes a pre-stage for classifying macroblocks into motive and static blocks. For the unimportant static macroblock, low bitrate skip mode has been chosen as the best mode. Simulation results for indoor surveillance videos obtained 22%-28% bit-rate saving and 10%-36% ME time saving with no significant video quality loss.
| Original language | English |
|---|---|
| Title of host publication | ISPACS 2009 - 2009 International Symposium on Intelligent Signal Processing and Communication Systems, Proceedings |
| Pages | 481-484 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2009 |
| Externally published | Yes |
| Event | 2009 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2009 - Kanazawa Duration: 2009 Dec 7 → 2009 Dec 9 |
Other
| Other | 2009 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2009 |
|---|---|
| City | Kanazawa |
| Period | 09/12/7 → 09/12/9 |
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ASJC Scopus subject areas
- Computer Networks and Communications
- Signal Processing
- Electrical and Electronic Engineering
- Communication
Cite this
Motion detection based motion estimation algorithm for video surveillance application. / Su, Jia; Liu, Qin; Ikenaga, Takeshi.
ISPACS 2009 - 2009 International Symposium on Intelligent Signal Processing and Communication Systems, Proceedings. 2009. p. 481-484 5383798.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Motion detection based motion estimation algorithm for video surveillance application
AU - Su, Jia
AU - Liu, Qin
AU - Ikenaga, Takeshi
PY - 2009
Y1 - 2009
N2 - Large amounts of data have to be processed, transmitted and storage by modern video surveillance applications. Thus, low bit-rate video compressed algorithm is very critical. For indoor surveillance application, only motive object is the most interesting and significant part. This paper proposed a motion detection based motion estimation algorithm to achieve low bit-rate and low complexity for surveillance application. It includes a pre-stage for classifying macroblocks into motive and static blocks. For the unimportant static macroblock, low bitrate skip mode has been chosen as the best mode. Simulation results for indoor surveillance videos obtained 22%-28% bit-rate saving and 10%-36% ME time saving with no significant video quality loss.
AB - Large amounts of data have to be processed, transmitted and storage by modern video surveillance applications. Thus, low bit-rate video compressed algorithm is very critical. For indoor surveillance application, only motive object is the most interesting and significant part. This paper proposed a motion detection based motion estimation algorithm to achieve low bit-rate and low complexity for surveillance application. It includes a pre-stage for classifying macroblocks into motive and static blocks. For the unimportant static macroblock, low bitrate skip mode has been chosen as the best mode. Simulation results for indoor surveillance videos obtained 22%-28% bit-rate saving and 10%-36% ME time saving with no significant video quality loss.
UR - http://www.scopus.com/inward/record.url?scp=77949896146&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77949896146&partnerID=8YFLogxK
U2 - 10.1109/ISPACS.2009.5383798
DO - 10.1109/ISPACS.2009.5383798
M3 - Conference contribution
AN - SCOPUS:77949896146
SN - 9781424450169
SP - 481
EP - 484
BT - ISPACS 2009 - 2009 International Symposium on Intelligent Signal Processing and Communication Systems, Proceedings
ER -