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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 9 of 9  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-15
13:40
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
Performance Evaluations of Point Cloud Streaming Considering Perceptual Quality
Yumeka Chujo, Yusuke Tagashira, Yuiko Harada, Kenji Kanai, Jiro Katto (Waseda Univ.) CQ2022-87
A point cloud streaming based on MPEG-Dynamic Adaptive Streaming over HTTP (DASH) is expected to realize highly immersiv... [more] CQ2022-87
pp.43-48
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-16
14:50
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
Performance Evaluations of Level of Detail-based 3D Point Cloud Space Streaming
Yusuke Tagashira, Yumeka Chujo, Kenji Kanai (Waseda Univ.), Chihiro Nakatsuka, Kyohei Unno (KDDI Research, Inc), Jiro Katto (Waseda Univ.) IMQ2022-55 IE2022-132 MVE2022-85
In order to realize highly realistic and immersive applications, it is necessary to develop efficient methods for stream... [more] IMQ2022-55 IE2022-132 MVE2022-85
pp.172-177
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-17
12:50
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
A Study on Offset Coding of Patch Data in Video-based Point Cloud Compression (V-PCC)
Emi Myoudou, Yoshitaka Kidani, Kei Kawamura (KDDI Research.) IMQ2022-78 IE2022-155 MVE2022-108
Video-Based Point Cloud Compression (V-PCC) was standardized by Moving Picture Experts Group (MPEG). In V-PCC, the 3D po... [more] IMQ2022-78 IE2022-155 MVE2022-108
pp.302-305
IE 2023-02-02
15:00
Tokyo NII
(Primary: On-site, Secondary: Online)
[Invited Talk] A Study on Background Filling for the Inter-patch Area of the Texture Image in V-PCC Encoder
Shohei Adachi (Waseda Univ.), Yoshitaka Kidani, Kei Kawamura (KDDI Research), Hiroshi Watanabe (Waseda Univ.) IE2022-54
Video-based point cloud compression (V-PCC) is standardized by MPEG in 2020 as a coding method for high-density 3D point... [more] IE2022-54
pp.17-18
CS, IE, IPSJ-AVM, ITE-BCT [detail] 2022-11-24
10:55
Aichi Nagoya Institute of Technology
(Primary: On-site, Secondary: Online)
Performance Evaluations of Content-driven Point Cloud Streaming System
Yumeka Chujo, Yusuke Tagashira, Kenji Kanai, Jiro Katto (Waseda Univ.) CS2022-49 IE2022-37
To realize a highly immersive communication service, handling multiple point cloud objects in parallel is required. Ther... [more] CS2022-49 IE2022-37
pp.7-12
RECONF, VLD, CPSY, IPSJ-ARC, IPSJ-SLDM [detail] 2022-01-25
09:55
Online Online An Accuracy-Aware Data Size Reduction Method of 3D Lidar SLAM
Ryuto Kojima, Keisuke Sugiura, Hiroki Matsutani (Keio Univ.) VLD2021-63 CPSY2021-32 RECONF2021-71
(To be available after the conference date) [more] VLD2021-63 CPSY2021-32 RECONF2021-71
pp.78-83
PN, NS, OCS
(Joint)
2021-06-25
10:45
Online Online Overhead Reduction for Point Cloud Wireless Delivery using Graph Signal Processing
Soushi Ueno, Takuya Fujihashi (Osaka Univ.), Toshiaki Koike-Akino (MERL), Takashi Watanabe (Osaka Univ.) NS2021-29
Graph-based compression can compact the signal energy of three-dimensional (3D) point cloud and realize high quality 3D ... [more] NS2021-29
pp.21-26
SRW, SeMI, CNR
(Joint)
2020-11-27
09:20
Online Online Bandwidth allocation for multiple LIDAR sensors based on spatial importance of point-cloud data
Ryo Otsu, Ryoichi Shinkuma, Takehiro sato, Eiji Oki (KU) SeMI2020-36
This paper addresses the bandwidth allocation to multiple Light Detection and Ranging (LIDAR) sensors in smart monitorin... [more] SeMI2020-36
pp.82-87
MIKA
(2nd)
2019-10-03
11:15
Hokkaido Hokkaido Univ. [Poster Presentation] A Preliminary Study on Low-Overhead Graph-Based Wireless Point Cloud Delivery
Takuya Fujihashi (Osaka Univ.), Toshiaki Koike-Akino (MERL), Watanabe Takashi (Osaka Univ.), Philip V. Orlik (MERL)
Point cloud is one of data structures to reconstruct 3D scenes and objects on holographic displays. Although
some studi... [more]

 Results 1 - 9 of 9  /   
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