3D-TV system with depth-image-based rendering : architectures, techniques and challenges / / Ce Zhu ... [et al.], editors |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | New York, : Springer, 2012, c2013 |
Descrizione fisica | 1 online resource (477 p.) |
Disciplina | 621.388 |
Altri autori (Persone) | ZhuCe |
Soggetto topico |
3-D television
Three-dimensional display systems |
ISBN |
1-283-62188-6
9786613934338 1-4419-9964-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Section 1: System Overview -- An Overview of 3D-TV System Using Depth-Image-Based Rendering -- Section 2: Content Generation -- Generic Content Creation for 3D Displays -- Stereo Matching and Viewpoint Synthesis for FPGA Implementation -- DIBR-Based Conversion from Monoscopic to Stereoscopic and Multi-view Video -- Virtual View Synthesis and Artifact Reduction Techniques -- Hole Filling for View Synthesis -- LDV Generation from Multi-view Hybrid Image and Depth Video -- Section 3: Data Compression and Transmission -- 3D Video Compression -- Depth Map Compression for Depth-Image-Based Rendering -- Effects of Wavelet-Based Depth Video Compression -- Transmission of 3D Video over Broadcasting -- Section 4: 3D Visualization and Quality Assessment -- The Psychophysics of Binocular Vision -- Stereoscopic and Autostereoscopic Displays -- Subjective and Objective Visual Quality Assessment in the Context of stereoscopic 3D-TV -- Visual quality assessment of synthesized views in the context of 3D-TV. |
Record Nr. | UNINA-9910438047703321 |
New York, : Springer, 2012, c2013 | ||
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Lo trovi qui: Univ. Federico II | ||
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ICDSP 2022 : 2022 6th International Conference on Digital Signal Processing : February 25-27, 2022, Chengdu, China / / general chairs, Ce Zhu, Tao Zhang |
Pubbl/distr/stampa | New York : , : Association for Computing Machinery, , 2022 |
Descrizione fisica | 1 online resource (253 pages) : illustrations |
Disciplina | 621.3822 |
Collana | ACM Other conferences |
Soggetto topico |
Signal processing - Digital techniques
Image processing - Digital techniques Computer vision Neural networks (Computer science) |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910580192303321 |
New York : , : Association for Computing Machinery, , 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Tensor Computation for Data Analysis |
Autore | Liu Yipeng |
Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2021 |
Descrizione fisica | 1 online resource (347 pages) |
Altri autori (Persone) |
LiuJiani
LongZhen ZhuCe |
Soggetto genere / forma | Electronic books. |
ISBN | 3-030-74386-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910497094803321 |
Liu Yipeng
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Cham : , : Springer International Publishing AG, , 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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