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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 169  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
EMM 2024-03-03
10:00
Overseas Day1:JEJU TECHNOPARK, Day2:JEJU Business Agency [Poster Presentation] Proposal of additive video watermarking method with distributed watermark embedding -- Performance comparison between extraction methods using BSS and frame-to-frame difference --
Nao Harada, Rinka Kawano, Masaki Kawamura (Yamaguchi Univ.) EMM2023-95
To improve the quality of stego-video, it is necessary to reduce the amount of watermark embedded in a frame. We propose... [more] EMM2023-95
pp.34-39
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
EMM 2023-03-02
14:30
Nagasaki Fukue culture hall
(Primary: On-site, Secondary: Online)
[Poster Presentation] Watermark Extraction Method Using BSS -- Improving Image Quality Using Inter-frame Difference --
Nao Harada, Rinka Kawano, Masaki Kawamura (Yamaguchi Univ.) EMM2022-80
To improve the quality of stego-videos, we consider embedding method of watermarks in blocks where the differences betwe... [more] EMM2022-80
pp.66-71
EMM 2023-03-03
11:05
Nagasaki Fukue culture hall
(Primary: On-site, Secondary: Online)
Investigation of Video Watermarking Method Based on 3D U-Net Robust Against Re-shooting
Ryota Takahashi (Osaka Prefecture Univ.), Motoi Iwata, Koichi Kise (Osaka Metropolitan Univ.) EMM2022-92
In recent years, digital signage has become popular as a device for disseminating information to the masses. However, un... [more] EMM2022-92
pp.132-137
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-22
14:30
Hokkaido Hokkaido Univ. Image Division Based Interframe Prediction Method with Reduced Frame Memory for Ultra-Low-Latency Video-coding
Mai Yamaguchi, Matsumura Tetsuya (Nihon Univ.)
In this paper, we propose a new inter-frame prediction method for Ultra-Low-Latency Video-coding. The proposed method re... [more]
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
RCS, NS
(Joint)
2022-12-15
10:35
Aichi Nagoya Institute of Technology, and Online
(Primary: On-site, Secondary: Online)
Transmission performance of 4K high-definition real-time video streaming signal using a Local 5G system
Takamasa Nishijima, Hiroki Urasawa, Ryota Bairaku, Hayato Soya, Kazuhiro Yamaguchi, Hideaki Matsue (SUS) RCS2022-187
For the local 5G uplink, we created an environment in which packet errors can be stably and deliberately controlled by a... [more] RCS2022-187
pp.13-18
SIS 2022-12-06
10:30
Osaka
(Primary: On-site, Secondary: Online)
Non Local Means Based on Local Statistics for Image Sequence Denoising
Ayae Takei, Mitsuhiko Meguro (Nihon Univ.) SIS2022-37
In this paper, we propose an extended Non Local Means for denoising noisy image sequences.Non Local Means is an image de... [more] SIS2022-37
pp.80-85
PRMU 2022-09-15
10:45
Kanagawa
(Primary: On-site, Secondary: Online)
Effect validation of adversarial auxiliary classifier for video disentanglement
Takeshi Haga, Hiroshi Kera, Kazuhiko Kawamoto (Chiba Univ) PRMU2022-21
The Disentanglement of sequential data such as video requires inductive biases to separate static latent variables from ... [more] PRMU2022-21
pp.67-71
CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] 2022-03-11
09:50
Online Online CPSY2021-59 DC2021-93 (To be available after the conference date) [more] CPSY2021-59 DC2021-93
pp.85-90
MICT, EMCJ
(Joint)
2022-03-04
10:05
Online Online A study on silent word recognition using various sensors
Masaya Kusamoto, Kenko Ota (NIT) MICT2021-104
The aim of this study is to clarify the effectiveness of silent word recognition using multiple sensors. When a visible ... [more] MICT2021-104
pp.19-24
MI 2022-01-26
14:18
Online Online [Short Paper] Development of Online Annotation Tool Towards Large-Scale Laparoscopic Video Database
Hayato Itoh, Dongping Pan, Takuya Ozawa, Masahiro Oda (Nagoya Univ.), Nobuyoshi Takeshita, Masaaki Ito (NCC East), Kensaku Mori (Nagoya Univ.) MI2021-65
(To be available after the conference date) [more] MI2021-65
pp.86-87
PRMU 2021-12-17
10:30
Online Online Automatic estimation of sleep state by multi-view video analysis
Naoyuki Ebata, Shinya Fukumoto, Masayuki Kashima, Mutumi Watanabe, Hitoshi Sakimoto, Takanori Ishizuka, Masayuki Nakamura (Kagoshima Univ) PRMU2021-44
We have developed a method for estimating the stage of sleep by analyzing video from two viewpoints. One is to extract f... [more] PRMU2021-44
pp.107-112
HIP 2021-09-17
11:45
Online Online (Zoom) Effect of the number and size of raindrops on perception of rain intensity in dynamic images
Liu Yang, Okajima Katsunori (YNU) HIP2021-29
Although visual strength of the rain can be easily estimated, but the processing mechanism has been unknown. To clarify ... [more] HIP2021-29
pp.41-46
ITE-ME, EMM, IE, LOIS, IEE-CMN, IPSJ-AVM [detail] 2021-08-25
13:25
Online Online Extraction of watermarks from video frames by using BSS
Akane Yokota, Masaki Kawamura (Yamaguchi Univ.) LOIS2021-17 IE2021-12 EMM2021-47
We propose a method for extracting watermarks additively
embedded in video frames by using blind source separation (BS... [more]
LOIS2021-17 IE2021-12 EMM2021-47
pp.7-12
PRMU, IPSJ-CVIM, IPSJ-NL 2021-05-21
10:30
Online Online A Study on Domain Adaptation for Video Action Classification Utilizing Synthetic Data.
Hana Isoi (Ochanomizu Univ.), Atsuko Takefusa (NII), Hidemoto Nakada (AIST), Masato Oguchi (Ochanomizu Univ.) PRMU2021-5
The lack of learning data is considered as one of the reasons why the classification accuracies of deep neural networks ... [more] PRMU2021-5
pp.25-30
MICT, MI 2020-11-04
11:20
Online Online Automatic Classification of Pancreatic Cancer and Analysis of Video Frames Using 3D CNN and Attention
Sota Kato, Kazuhiro Hotta (Meijo Univ.), Hiroki Kawashima, Takuya Ishikawa, Hirotaka Suzuki (Nagoya Univ.) MICT2020-12 MI2020-38
The purpose of this research is to classify pancreatic cancer from videos and to analyze an important location for the c... [more] MICT2020-12 MI2020-38
pp.24-28
MICT, MI 2020-11-04
15:50
Online Online [Short Paper] An Experimental Study on Color Laparoscopic High-Definition Video Quality Assessment Including Super-resolution
Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.) MICT2020-19 MI2020-45
After considering medical image analysis support, it is one of importance factors to assess high-definition image qualit... [more] MICT2020-19 MI2020-45
pp.60-61
PRMU, IPSJ-CVIM 2020-03-16
11:10
Kyoto
(Cancelled but technical report was issued)
[Short Paper] Video Inpainting by Frame Alignment with Deformable Convolution
Yusuke Hara, Xueting Wang, Toshihiko Yamasaki, Kiyoharu Aizawa (UTokyo) PRMU2019-67
(To be available after the conference date) [more] PRMU2019-67
pp.13-14
IBISML 2020-03-11
11:35
Kyoto Kyoto University
(Cancelled but technical report was issued)
Pre-training for Action Classification Task Using Video Frame Prediction Task
Hidemoto Nakada, Hideki Asoh (AIST) IBISML2019-45
Continuous Video frames have strongly correlated with each other and thus include rich information that could be leverag... [more] IBISML2019-45
pp.85-90
 Results 1 - 20 of 169  /  [Next]  
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