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Technical Committee on Pattern Recognition and Media Understanding (PRMU)  (Searched in: 2022)

Search Results: Keywords 'from:2022-10-21 to:2022-10-21'

[Go to Official PRMU Homepage (Japanese)] 
Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 1 - 10 of 10  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU 2022-10-21
10:00
Tokyo Miraikan - The National Museum of Emerging Science and Innovation
(Primary: On-site, Secondary: Online)
Melody popularity analysis by using SPICE circuit neural network having time-sequence structured neurons
Ayumi Imamoto, Taichiro Kojima, Yuka Honjo, Kan Takeuchi PRMU2022-22
To comprehend what in melodies moves our soul, an analog neural network rather than digital AI is used. The unit neuron ... [more] PRMU2022-22
pp.1-5
PRMU 2022-10-21
10:15
Tokyo Miraikan - The National Museum of Emerging Science and Innovation
(Primary: On-site, Secondary: Online)
Video Saliency Map Estimation Using Prior Information at Each Time
Hatogai Takumi, Takao Yamanaka (Sophia Univ.) PRMU2022-23
 [more] PRMU2022-23
pp.6-11
PRMU 2022-10-21
10:30
Tokyo Miraikan - The National Museum of Emerging Science and Innovation
(Primary: On-site, Secondary: Online)
Hierarchical Omni-Directional Image Generation Model
Ryuto Miyazaki, Motohiro Tabata, Takao Yamanaka (Sophia Univ) PRMU2022-24
 [more] PRMU2022-24
pp.12-17
PRMU 2022-10-21
10:45
Tokyo Miraikan - The National Museum of Emerging Science and Innovation
(Primary: On-site, Secondary: Online)
Subspace based Anomaly Detection
Takumi Kanai, Naoya Sogi (Univ. Tsukuba), Atsuto Maki (KTH), Kazuhiro Fukui (Univ. Tsukuba) PRMU2022-25
In this paper, we propose a change point detection method in time series data by incorporating the concept of difference... [more] PRMU2022-25
pp.18-23
PRMU 2022-10-21
15:10
Tokyo Miraikan - The National Museum of Emerging Science and Innovation
(Primary: On-site, Secondary: Online)
An Attempt to Detect User's Hasitation using HMD Sensor Data
Takaya Taniguchi, Keishi Nishikawa, Koji Sakata (Mitsubishi Electric Corp.) PRMU2022-26
In equipment maintenance, it’s expected that work efficiency is improved with work support and training service by using... [more] PRMU2022-26
pp.24-28
PRMU 2022-10-21
15:25
Tokyo Miraikan - The National Museum of Emerging Science and Innovation
(Primary: On-site, Secondary: Online)
Features and Deep Learning Models Suitable for Speech Source Discrimination Method in Plural Voice User Interfaces Environment
Kengo Maeda, Takahiro Yoshida (TUS) PRMU2022-27
Under the situation that plural devices equipped with a voice user interface exist in the user’s environment in the near... [more] PRMU2022-27
pp.29-34
PRMU 2022-10-21
15:40
Tokyo Miraikan - The National Museum of Emerging Science and Innovation
(Primary: On-site, Secondary: Online)
Action Recognition of Anime
Ayako Sakuma, Naoshi Kaneko, Kazuhiko Sumi (Aoyama Gakuin Univ.) PRMU2022-28
This paper presents an action recognition method for anime characters.
Since existing action recognition datasets focus... [more]
PRMU2022-28
pp.35-40
PRMU 2022-10-21
15:55
Tokyo Miraikan - The National Museum of Emerging Science and Innovation
(Primary: On-site, Secondary: Online)
Fine-grained Action Recognition Using Hand Trajectory Features for First-Person Cooking Videos
Sota Miyamoto (Tokyo Tech), Yagi Takuma (UTokyo), Ushiku Yoshitaka, Atsushi Hashimoto (OSX), Nakamasa Inoue (Tokyo Tech) PRMU2022-29
Action recognition in kitchen environments is a crucial topic in computer vision and robotics
with application toward f... [more]
PRMU2022-29
pp.41-46
PRMU 2022-10-21
16:10
Tokyo Miraikan - The National Museum of Emerging Science and Innovation
(Primary: On-site, Secondary: Online)
Preliminary Study on Extraction of Cervical Intervertebral Disks from VF using HFE-HE Filter, GC Filter, Multi-channelization and M-Net
Luo Shijie, Hotaka Takizawa (Univ. of Tsukuba), Kojiro Mekata (Shijonawate Gakuen Univ.), Hiroyuki Kudo (Univ. of Tsukuba) PRMU2022-30
Our previous studies revealed that the extraction accuracy of cervical intervertebral disks from videofluorography can b... [more] PRMU2022-30
pp.47-49
PRMU 2022-10-21
16:25
Tokyo Miraikan - The National Museum of Emerging Science and Innovation
(Primary: On-site, Secondary: Online)
Heart Detection Method in Non-Contrast Chest CT Image and Application to Calcium Scoring
Yuki Sugimoto, Tetsuya Asakawa (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT) PRMU2022-31
Coronary artery disease, one of the major causes of death in Japan, is said to be related to coronary artery calcificati... [more] PRMU2022-31
pp.50-55
 Results 1 - 10 of 10  /   
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