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Pregled bibliografske jedinice broj: 560899

Adaptive motion-estimation-mode selection for depth video coding


Kamolrat, B.; Fernando, W.A.C.; Mrak, Marta
Adaptive motion-estimation-mode selection for depth video coding // Proceedings ICASSP 2010 / Hansen, John (ur.).
Dallas (TX): Institute of Electrical and Electronics Engineers (IEEE), 2010. str. 702-705 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
Adaptive motion-estimation-mode selection for depth video coding

Autori
Kamolrat, B. ; Fernando, W.A.C. ; Mrak, Marta

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings ICASSP 2010 / Hansen, John - Dallas (TX) : Institute of Electrical and Electronics Engineers (IEEE), 2010, 702-705

ISBN
978-1-4244-4295-9

Skup
2010 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP)

Mjesto i datum
Dallas (TX), Sjedinjene Američke Države, 14.03.2010. - 19.03.2010

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
3D video; block matching; depth imagebased rendering (DIBR); motion estimation

Sažetak
An effective representation of 3D video in future 3D-TV systems consists of monoscopic video (colour component) and associated per-pixel depth information (depth component). As depth component indicates relative distance between objects within the scene and a camera, pixel values change not only when objects move in vertical and horizontal directions but also when they move in a depth direction. Instead of predicting motion of objects in two directions as appearing in traditional video codecs, three-dimensional block matching (3D-BM) achieves more accurate motion estimation in depth video coding. However overall performance of 3D-BM exceeds that of the traditional two-dimensional block matching (2D-BM) only at high bit rate. In this paper, an adaptive 2D-3D BM selection algorithm is introduced to compromise performance of 2DBM and 3D-BM. The Lagrangian optimisation algorithm is applied to select motion estimation mode at a block level. The experiment results reveal that the proposed adaptive motion-estimation-mode selection can improve the performance of 3D-BM at low bit rate while advantages of 3D-BM are preserved at high bit rate.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo



POVEZANOST RADA


Projekti:
036-0982560-1643 - Inteligentno određivanje značajki slike u sustavima za otkrivanje znanja (Grgić, Mislav, MZO ) ( CroRIS)

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Marta Mrak (autor)


Citiraj ovu publikaciju:

Kamolrat, B.; Fernando, W.A.C.; Mrak, Marta
Adaptive motion-estimation-mode selection for depth video coding // Proceedings ICASSP 2010 / Hansen, John (ur.).
Dallas (TX): Institute of Electrical and Electronics Engineers (IEEE), 2010. str. 702-705 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Kamolrat, B., Fernando, W. & Mrak, M. (2010) Adaptive motion-estimation-mode selection for depth video coding. U: Hansen, J. (ur.)Proceedings ICASSP 2010.
@article{article, author = {Kamolrat, B. and Fernando, W.A.C. and Mrak, Marta}, editor = {Hansen, J.}, year = {2010}, pages = {702-705}, keywords = {3D video, block matching, depth imagebased rendering (DIBR), motion estimation}, isbn = {978-1-4244-4295-9}, title = {Adaptive motion-estimation-mode selection for depth video coding}, keyword = {3D video, block matching, depth imagebased rendering (DIBR), motion estimation}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Dallas (TX), Sjedinjene Ameri\v{c}ke Dr\v{z}ave} }
@article{article, author = {Kamolrat, B. and Fernando, W.A.C. and Mrak, Marta}, editor = {Hansen, J.}, year = {2010}, pages = {702-705}, keywords = {3D video, block matching, depth imagebased rendering (DIBR), motion estimation}, isbn = {978-1-4244-4295-9}, title = {Adaptive motion-estimation-mode selection for depth video coding}, keyword = {3D video, block matching, depth imagebased rendering (DIBR), motion estimation}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Dallas (TX), Sjedinjene Ameri\v{c}ke Dr\v{z}ave} }




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