Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Visual Communications and Image Processing 2004 |
| Seiten | 464-473 |
| Seitenumfang | 10 |
| Publikationsstatus | Veröffentlicht - 18 Jan. 2004 |
| Extern publiziert | Ja |
| Veranstaltung | Visual Communications and Image Processing 2004 - San Jose, CA, USA / Vereinigte Staaten Dauer: 20 Jan. 2004 → 22 Jan. 2004 |
Publikationsreihe
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Herausgeber (Verlag) | SPIE |
| Band | 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.
ASJC Scopus Sachgebiete
- Werkstoffwissenschaften (insg.)
- Elektronische, optische und magnetische Materialien
- Physik und Astronomie (insg.)
- Physik der kondensierten Materie
- Informatik (insg.)
- Angewandte Informatik
- Mathematik (insg.)
- Angewandte Mathematik
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
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- BibTex
- RIS
Visual Communications and Image Processing 2004. 2004. S. 464-473 (Proceedings of SPIE - The International Society for Optical Engineering; Band 5308).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › 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 -