Details
| Original language | English |
|---|---|
| Title of host publication | Visual Communications and Image Processing 2004 |
| Pages | 464-473 |
| Number of pages | 10 |
| Publication status | Published - 18 Jan 2004 |
| Externally published | Yes |
| Event | Visual Communications and Image Processing 2004 - San Jose, CA, United States Duration: 20 Jan 2004 → 22 Jan 2004 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Publisher | SPIE |
| Volume | 5308 |
| ISSN (Print) | 0277-786X |
Abstract
Motion estimation algorithms are a key component for multimedia systems and optimization of these algorithms is still a topic of current research. Promising approaches try to integrate into the motion estimation process besides pure grey level similarities further types of information, contained in the image. Due to the moderate quality of this additional information the integration has to be performed rather conservatively in order to reduce the risk of an even dramatic degradation of the vector field quality in some cases. Up to now there is no robust algorithm available, which yields a noticeable improvement for all types of motion and image scenes, without causing a loss of quality in critical situations. Within the scope of this contribution the application of high performance segmentation for the enhancement of motion vector fields is analyzed. Starting from these results a new iterative concept for object based motion estimation is developed, which combines the results of a classic motion estimation with the information of image segmentation and features a high robustness against segmentation errors. The results of this new algorithm are analyzed on the basis of different objective evaluation criterions and compared to classic motion estimation algorithms.
Keywords
- Block matching, Image format conversion, Image segmentation, Motion estimation, Motion vector, Object based algorithms, Rainfalling-watershed
ASJC Scopus subject areas
- Materials Science(all)
- Electronic, Optical and Magnetic Materials
- Physics and Astronomy(all)
- Condensed Matter Physics
- Computer Science(all)
- Computer Science Applications
- Mathematics(all)
- Applied Mathematics
- Engineering(all)
- Electrical and Electronic Engineering
Cite this
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- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
Visual Communications and Image Processing 2004. 2004. p. 464-473 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 5308).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Segmentation in the loop
T2 - Visual Communications and Image Processing 2004
AU - Blume, Holger
AU - von Livonius, Joerg
AU - Noll, Tobias G.
PY - 2004/1/18
Y1 - 2004/1/18
N2 - Motion estimation algorithms are a key component for multimedia systems and optimization of these algorithms is still a topic of current research. Promising approaches try to integrate into the motion estimation process besides pure grey level similarities further types of information, contained in the image. Due to the moderate quality of this additional information the integration has to be performed rather conservatively in order to reduce the risk of an even dramatic degradation of the vector field quality in some cases. Up to now there is no robust algorithm available, which yields a noticeable improvement for all types of motion and image scenes, without causing a loss of quality in critical situations. Within the scope of this contribution the application of high performance segmentation for the enhancement of motion vector fields is analyzed. Starting from these results a new iterative concept for object based motion estimation is developed, which combines the results of a classic motion estimation with the information of image segmentation and features a high robustness against segmentation errors. The results of this new algorithm are analyzed on the basis of different objective evaluation criterions and compared to classic motion estimation algorithms.
AB - Motion estimation algorithms are a key component for multimedia systems and optimization of these algorithms is still a topic of current research. Promising approaches try to integrate into the motion estimation process besides pure grey level similarities further types of information, contained in the image. Due to the moderate quality of this additional information the integration has to be performed rather conservatively in order to reduce the risk of an even dramatic degradation of the vector field quality in some cases. Up to now there is no robust algorithm available, which yields a noticeable improvement for all types of motion and image scenes, without causing a loss of quality in critical situations. Within the scope of this contribution the application of high performance segmentation for the enhancement of motion vector fields is analyzed. Starting from these results a new iterative concept for object based motion estimation is developed, which combines the results of a classic motion estimation with the information of image segmentation and features a high robustness against segmentation errors. The results of this new algorithm are analyzed on the basis of different objective evaluation criterions and compared to classic motion estimation algorithms.
KW - Block matching
KW - Image format conversion
KW - Image segmentation
KW - Motion estimation
KW - Motion vector
KW - Object based algorithms
KW - Rainfalling-watershed
UR - http://www.scopus.com/inward/record.url?scp=10444235628&partnerID=8YFLogxK
U2 - 10.1117/12.526815
DO - 10.1117/12.526815
M3 - Conference contribution
AN - SCOPUS:10444235628
T3 - Proceedings of SPIE - The International Society for Optical Engineering
SP - 464
EP - 473
BT - Visual Communications and Image Processing 2004
Y2 - 20 January 2004 through 22 January 2004
ER -