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 |