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Univ.-Prof. Dr.-Ing. Alexander Raake

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Dr.-Ing. Hossein Bakhshi-Golestani

Marie Skłodowska-Curie Research Fellow
PROVISION ITN

 

Forschungsgebiet

3D Scene Models in Frame Prediction

Kontakt

E-Mail: golestani@ient.rwth-aachen.de

Publikationen

H. B. Golestani, 3D geometry for 2D video compression. Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, Aachen, Dec. 2021. [ bib | DOI | https ]

H. B. Golestani, J. Sauer, C. Rohlfing, and J.-R. Ohm, “3D Geometry-based Global Motion Compensation for VVC,” in IEEE International Conference on Image Processing (ICIP), (Anchorage-Alaska, US), IEEE, Piscataway, Sept. 2021. [ bib ]

H. B. Golestani and J.-R. Ohm, “Exploiting the 3D Structures Observed in 2D Video Sequences for Motion Compensation,” in Picture Coding Symposium (PCS'21), (Bristol, UK), IEEE, Piscataway, June 2021. [ bib ]

H. B. Golestani, C. Rohlfing, and J.-R. Ohm, “Reference Picture Synthesis for Video Sequences Captured with a Monocular Moving Camera,” in IEEE International Conference on Visual Communications and Image Processing (VCIP), (Sydney, AUSTRALIA), IEEE, Piscataway, Dec. 2019. [ bib | more… | https ]

I. Saxena and H. B. Golestani, “Hierarchical depth map estimation for inter-prediction in video coding,” in Proc. of International Student Conference on Electrical Engineering POSTER '19, (Prague, Czech Republic), May 2019. [ bib | https ]

H. B. Golestani, T. Meyer, and M. Wien, “Image-Based Rendering using Point Cloud for Video Coding,” in Picture Coding Symposium (PCS'18), (San Francisco, US), IEEE, Piscataway, June 2018. [ bib | https ]

H. B. Golestani, M. Wien, and J.-R. Ohm, “3D Scene Model based Frame Prediction in Video Coding,” in International Conference on 3D Immersion, (Brussels, Belgium), IEEE, Piscataway, Dec. 2017. [ bib | https ]

H. B. Golestani, J. Schneider, M. Wien, and J.-R. Ohm, “Point Cloud Estimation for 3D Structure-Based Frame Prediction in Video Coding,” in Proc. of IEEE International Conference on Multimedia and Expo ICME '17, (Hong Kong, Hong Kong), IEEE, Piscataway, July 2017. [ bib | https ]

M. Joneidi, H. B. Golestani, and M. Ghanbari, “Eigen-Gap of Structure Transition Matrix: A New Criterion for Image Quality Assessmrnt,” in IEEE Signal Processing and Signal Processing Education Workshop, (Utah, USA), IEEE, Piscataway, Aug. 2015. [ bib | https ]

M. Joneidi, M. Sadeghi, P. Ahmadi, H. B. Golestani, and M. Ghanbari, “Matched Detection in Union of Lowrank Subspaces,” in 7th International Symposium on Telecommunication, (Tehran, Iran), IEEE, Piscataway, Sept. 2014. [ bib | https ]

H. B. Golestani and M. Ghanbari, “Window Size Influence on SSIM Fidelity,” in 7th International Symposium on Telecommunication, (Tehran, Iran), IEEE, Piscataway, Sept. 2014. [ bib | https ]

H. B. Golestani, M. Joneidi, and M. Ghanbari, “Logo Watermarking with Unequal Strength for Improved Robustness Against Attacks,” in 7th International Symposium on Telecommunication, (Tehran, Iran), IEEE, Piscataway, Sept. 2014. [ bib | https ]

H. B. Golestani, M. Joneidi, and M. Sadeghi, “A Study on Clustering for Clustering based Image De-Noising,,” Journal of Information Systems and Telecommunications, vol. 2, pp. 196–204, Aug. 2014. [ bib | http ]

H. B. Golestani and M. Ghanbari, “Minimisation of Image Watermarking Side Effects Through Subjective Optimization,” IET Image Processing Journal, vol. 7, pp. 733–741, Aug. 2013. [ bib | https ]

M. Sadeghi, M. Joneidi, and H. B. Golestani, “Learning Low-Dimentinal Subspaces via Sequentially Subspace Fitting,” in 21st Iranian Conference on Electrical Engineering, (Mashhad, Iran), IEEE, Piscataway, Apr. 2013. [ bib | https ]

H. B. Golestani and S. Ghaemmaghami, “Enhance Robustness of Image-in-Image Watermarking through Data Partitioning,” in IEEE Region 10 Conference, (Cebu, Philippines), IEEE, Piscataway, Nov. 2012. [ bib | https ]

Standardisierungsdokumente

H. B. Golestani, C. Rohlfing, and M. Wien, “AHG12: 3D Geometry for Global Motion Compensation,” Doc. JVET-V0129, Joint Video Experts Team of ITU-T VCEG and ISO/IEC MPEG, Teleconference, online, Apr. 2021. [ bib ]

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