Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
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 |
SIS, ITE-BCT |
2021-10-08 10:50 |
Online |
Online |
A Study on Contrast Enhancement of Images for SfM Kazuaki Takahashi, Masaaki Fujiyoshi (Tokyo Metro. Univ.) SIS2021-18 |
This paper investigates the application of contrast enhancement to photographs for structure from motion (SfM), where Sf... [more] |
SIS2021-18 pp.42-47 |
EMM, IT |
2021-05-21 13:35 |
Online |
Online |
A Study on Feature Extraction Suitable for Double JPEG Compression Analysis Based on Statistical Bias Observation of DCT Coefficients Daichi Takeshita, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.) IT2021-12 EMM2021-12 |
Pictures taken by smart phones and camera devices are generally compressed by JPEG by default when they are saved. If su... [more] |
IT2021-12 EMM2021-12 pp.66-71 |
HCGSYMPO (2nd) |
2020-12-15 - 2020-12-17 |
Online |
Online |
Analysis of Relationship between Dishes and Foods towards Serving and Arrangement Support
-- Feature Analysis Focusing on Color Histogram -- Hayate Fukumoto, Mitsunori Matsushita, Ryosuke Yamanishi (Kansai Univ.) |
This paper investigate relationship between foods and plates based on each color histogram and its area. The goal of thi... [more] |
|
EA, ASJ-H, EMM |
2020-11-20 09:00 |
Online |
Online |
[Poster Presentation]
Evaluation on JPEG Image Compression History Analysis Using Histogram of DCT Coefficients with Different Block Size Naoya Nakajima, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.) EA2020-30 EMM2020-45 |
The image taken with a digital comera is usually JPEG-compressed when saved. On the other hand, the tampered image is ca... [more] |
EA2020-30 EMM2020-45 pp.48-53 |
SIS |
2019-12-12 15:15 |
Okayama |
Okayama University of Science |
A Reversible Data Hiding Method for Both Plain and Encrypted Images Yusuke Izawa, Ryoichi Hirasawa, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (TMU) SIS2019-28 |
In this paper, we propose a reversible data hiding method, where the data embedded into the original image can be extrac... [more] |
SIS2019-28 pp.29-34 |
PRMU, SP |
2018-06-29 14:25 |
Nagano |
|
Symbol Classification and Pitch Recognition in Offline Handwritten Musical Score Yuki Hayakawa, Tetsushi Wakabayashi, Yasuji Miyake (Mie Univ.), Wataru Ohyama (Kyushu Univ.) PRMU2018-35 SP2018-15 |
To realize automatic recognition of handwritten music score in Optical Music Recognition (OMR), there are many problems ... [more] |
PRMU2018-35 SP2018-15 pp.73-77 |
IE, ITE-ME, ITE-AIT [detail] |
2017-10-05 15:40 |
Nagasaki |
|
Effectiveness of Color Quantization for Image Classification Kentaro Obara, Yukinori Suzuki (Muroran-IT) IE2017-53 |
Image classification is essential for image retrieval system. It is necessary to convert a color image to a gray scale i... [more] |
IE2017-53 pp.37-42 |
SIS |
2016-03-10 15:50 |
Tokyo |
Tokyo City Univ. |
Feature Point Extraction from A Manga-Style Illustration of A Facial Image Using SIFT and Color Features as A Feature Vector Shun Aoki, Ryusuke Miyamoto (Meiji Univ.) SIS2015-59 |
Several schemes have been proposed to localize facial parts in natural imamges accurately because many practical applica... [more] |
SIS2015-59 pp.63-68 |
SIS, IPSJ-AVM |
2014-09-11 14:50 |
Yamagata |
SHONAI INDUSTRIAL PROMOTION CENTER |
Smoothed Data Density Histogram on Self-Organizing Map and Its Application to Cluster Analysis Yuriko Tsunoda, Kouichiro Hayashi, Hideaki Kawano, Hiroshi Maeda (Kyutech) SIS2014-57 |
This paper proposes an automatic cluster analysis method using self-organizing feature maps (SOM). SOM-based cluster ana... [more] |
SIS2014-57 pp.45-50 |
CAS, SIP, MSS, VLD, SIS [detail] |
2014-07-10 09:50 |
Hokkaido |
Hokkaido University |
Near-lossless image coding considering the influence of re-encoding Hiroyuki Kobayashi (Tokyo Metro. Coll. of Ind. of Tech.), Masahiro Iwahashi (Nagaoka Univ. of Tech.), Hitoshi Kiya (Tokyo Metro. Univ.) CAS2014-22 VLD2014-31 SIP2014-43 MSS2014-22 SIS2014-22 |
This report proposes a new quantization method, called zero-skip quantization and a near-lossless coding method based on... [more] |
CAS2014-22 VLD2014-31 SIP2014-43 MSS2014-22 SIS2014-22 pp.111-116 |
PRMU |
2014-03-13 16:15 |
Tokyo |
|
Study of Tongue Detection and Tongue Shape Classification Based on Active Contour Model and Texture Features Ming Tian, Luo Dan, Jun Ohya (Waseda Univ.) PRMU2013-190 |
In this paper, we aim to an automatic tongue diagnosis system in traditional Chinese medicine. First, we propose a new m... [more] |
PRMU2013-190 pp.133-138 |
NC |
2012-10-04 11:10 |
Fukuoka |
Kyushu Institute of Technology (Wakamatsu Campus) |
Human detection by gradient orientation histogram applied on local color correlation distributions Ryo Matsumura, Akitoshi Hanazawa (KIT) NC2012-38 |
Histograms of Oriented Gradients (HOG) has been proposed as an effective feature for human detection. For HOG features, ... [more] |
NC2012-38 pp.11-16 |
SIS |
2012-06-14 13:00 |
Hokkaido |
Tokachi Plaza (Obihiro City) |
Consideration of Gradient Intensity Histogram in Oral Mucosal Disease Diagnosis Support System based on Intraoral Image Yusaku Nishi (Kyushu Inst. of Tech.), Taishi Otani, Manabu Habu (Kyushu Dental College), Keiichi Horio (Kyushu Inst. of Tech.), Kazuhiro Tominaga (Kyushu Dental College) SIS2012-4 |
Oral mucosal diseases cause various disorders after treatments. Therefore early screening of the diseases is very import... [more] |
SIS2012-4 pp.19-22 |
CAS, CS, SIP |
2012-03-09 11:35 |
Niigata |
The University of Niigata |
Tracking of multiple moving sound sources using particle filter for arbitrary array configuration Ai Kijima (Keio Univ.), Yusuke Hioka (NTT), Nozomu Hamada (Keio Univ.) CAS2011-155 SIP2011-175 CS2011-147 |
Studies on the direction of arrival estimation of sound sources using a microphone array have been interested. In real c... [more] |
CAS2011-155 SIP2011-175 CS2011-147 pp.269-274 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2011-09-06 15:20 |
Hokkaido |
|
Object Detection in Images Using Feature of Invariant based on Histogram of Hue Koji Tanaka, Yoshinobu Hagiwara, Hiroki Imamura (Soka Univ.) PRMU2011-81 IBISML2011-40 |
Traditionally, there is a technology that detects objects with SIFT (Scale-Invariant Feature Transform) that obtained fe... [more] |
PRMU2011-81 IBISML2011-40 pp.187-194 |
PRMU |
2011-02-17 15:30 |
Saitama |
|
Video Similarity Measuring using SIFT Trajectories without Pre-learning Process Hiroaki Kubo, Hideo Saito (Keio Univ.), Shin'ichi Satoh (NII) PRMU2010-215 |
Video similarity is a basic technique of scene/object recognition.
To extract discriminative features from videos, rece... [more] |
PRMU2010-215 pp.43-48 |
PRMU |
2011-02-18 10:30 |
Saitama |
|
A Report on the TRECVID 2010 Instance Search Task Takahito Kawanishi, Akisato Kimura, Kunio Kashino (NTT), Shin'ichi Satoh, Duy-Dinh Le, Xiaomeng Wu, Sebastien Poullot (NII) PRMU2010-220 |
As a first step to the instance search task of TRECVID 2010, we employed several existing image retrieval methods in com... [more] |
PRMU2010-220 pp.81-86 |
PRMU, IPSJ-CVIM |
2010-11-18 11:00 |
Fukui |
|
Object recognition based on human activity using pose n-grams Yasumasa Sasano, Atsuhiro Kojima, Koichi Kise (Osaka Pref. Univ.) PRMU2010-114 |
In recent years, an aproach of object recognition by observing human behavior have been proposed. On
the other hand, Ba... [more] |
PRMU2010-114 pp.7-12 |
PRMU, HIP |
2010-06-25 10:40 |
Aomori |
|
Automatic facial features extraction for face recognition
-- Edge detection applied to anatomical region recognition -- Kousuke Abe, Yoshihiko Hayakawa (Kitami Inst. of Tech.) PRMU2010-49 HIP2010-38 |
It is necessary to extract structural features of facial organs for the face recognition, and the accuracy in the extrac... [more] |
PRMU2010-49 HIP2010-38 pp.65-68 |