Go to the main menu
Skip to content
Go to bottom
REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
> Journal Vol & Issue
The KIPS Transactions:PartB
Journal Basic Information
Journal DOI :
Korea Information Processing Society
Editor in Chief :
Volume & Issues
Volume 19B, Issue 4 - Aug 2012
Volume 19B, Issue 3 - Jun 2012
Volume 19B, Issue 2 - Apr 2012
Volume 19B, Issue 1 - Feb 2012
Selecting the target year
A Study on the Effectiveness of the Lungs Hand Acupuncture Based on Bio Signal Analysis
Kim, Bong-Hyun ; Cho, Dong-Uk ;
The KIPS Transactions:PartB, volume 19B, issue 2, 2012, Pages 77~82
DOI : 10.3745/KIPSTB.2012.19B.2.077
We carried out study to prove effectiveness as stimulating corresponding points to lung in hand to experiment applied analysis parameters for image and audio signals in this paper. To this end we collected facial image and voice before and after stimulating corresponding points to lung in hand to a male 20s 25 people. In addition, we analyzed change color, voice energy and speaking rate of right cheek area corresponding points to lung to suggest the theory of the Oriental medicine diagnosis based on data collected. As a result, after performing hand acupuncture, L value of right cheek area decreased average 2.33 and a value b value increased 0.76, 0.97 on average. In addition, size of voice energy increased average 0.42, speaking rate decreased average 0.07. In other words, effect of lung function was improved using hand acupuncture corresponding points to lung.
Integrity Authentication Algorithm of JPEG Compressed Images through Reversible Watermarking
Jo, Hyun-Wu ; Yeo, Dong-Gyu ; Lee, Hae-Yeoun ;
The KIPS Transactions:PartB, volume 19B, issue 2, 2012, Pages 83~92
DOI : 10.3745/KIPSTB.2012.19B.2.083
Multimedia contents can be copied and manipulated without quality degradation. Therefore, they are vulnerable to digital forgery and illegal distribution. In these days, with increasing the importance of multimedia security, various multimedia security techniques are studied. In this paper, we propose a content authentication algorithm based on reversible watermarking which supports JPEG compression commonly used for multimedia contents. After splitting image blocks, a specific authentication code for each block is extracted and embedded into the quantized coefficients on JPEG compression which are preserved against lossy processing. At a decoding process, the watermarked JPEG image is authenticated by extracting the embedded code and restored to have the original image quality. To evaluate the performance of the proposed algorithm, we analyzed image quality and compression ratio on various test images. The average PSNR value and compression ratio of the watermarked JPEG image were 33.13dB and 90.65%, respectively, whose difference with the standard JPEG compression were 2.44dB and 1.63%.
Fast Image Stitching Based on Improved SURF Algorithm Using Meaningful Features
Ahn, Hyo-Chang ; Rhee, Sang-Burm ;
The KIPS Transactions:PartB, volume 19B, issue 2, 2012, Pages 93~98
DOI : 10.3745/KIPSTB.2012.19B.2.093
Recently, we can easily create high resolution images with digital cameras for high-performance and make use them at variety fields. Especially, the image stitching method which adjusts couple of images has been researched. Image stitching can be used for military purposes such as satellites and reconnaissance aircraft, and computer vision such as medical image and the map. In this paper, we have proposed fast image stitching based on improved SURF algorithm using meaningful features in the process of images matching after extracting features from scenery image. The features are extracted in each image to find out corresponding points. At this time, the meaningful features can be searched by removing the error, such as noise, in extracted features. And these features are used for corresponding points on image matching. The total processing time of image stitching is improved due to the reduced time in searching out corresponding points. In our results, the processing time of feature matching and image stitching is faster than previous algorithms, and also that method can make natural-looking stitched image.
Prediction of Osteoporosis using Compositive Analysis of Trabecular Patterns on Proximal Femur
Lee, Ju-Hwan ; Park, Sung-Yun ; Jeong, Jae-Hoon ; Kim, Sung-Min ;
The KIPS Transactions:PartB, volume 19B, issue 2, 2012, Pages 99~106
DOI : 10.3745/KIPSTB.2012.19B.2.099
The purpose of this study was to determine the evaluation parameters' osteoporosis predictability in accordance with measuring regions by analyzing the correlations between bone mineral density and trabecular patterns derived from different measuring regions. Experimental subjects were a total of 40 female patients after menopause aged over 40 years, and were classified into 20 control and 20 osteoporotic groups according to the T-score. Bone mineral density was measured on femoral neck, trochanter and ward's triangle by DEXA(Dual Energy X-ray Absorptiometry). We designated ROI(Region of Interest) with
pixel size on each measuring regions, and extracted trabecular patterns by using existing image processing method. We also selected a total of eight evaluation parameters that are categorized into structural(mean gray level, area, perimeter, thickness and terminal distance), skeletonized parameters(number, length) and fractal dimension. As a result, it was observed that area, perimeter, thickness, terminal distance, number, length and fractal dimension reflected the bone mineral density with high statistical validity(p<0.003). We also confirmed that the evaluation parameters could predict the osteoporosis more efficiently.
Active Object Tracking based on stepwise application of Region and Color Information
Jeong, Joon-Yong ; Lee, Kyu-Won ;
The KIPS Transactions:PartB, volume 19B, issue 2, 2012, Pages 107~112
DOI : 10.3745/KIPSTB.2012.19B.2.107
An active object tracking algorithm using Pan and Tilt camera based in the stepwise application of region and color information from realtime image sequences is proposed. To reduce environment noises in input sequences, Gaussian filtering is performed first. An image is divided into background and objects by using the adaptive Gaussian mixture model. Once the target object is detected, an initial search window close to an object region is set up and color information is extracted from the region. We track moving objects in realtime by using the CAMShift algorithm which enables to trace objects in active camera with the color information. The proper tracking is accomplished by controlling the amount of pan and tilt to be placed the center position of object into the middle of field of view. The experimental results show that the proposed method is more effective than the hand-operated window method.
Enhancement of Stereo Feature Matching using Feature Windows and Feature Links
Kim, Chang-Il ; Park, Soon-Yong ;
The KIPS Transactions:PartB, volume 19B, issue 2, 2012, Pages 113~122
DOI : 10.3745/KIPSTB.2012.19B.2.113
This paper presents a new stereo matching technique which is based on the matching of feature windows and feature links. The proposed method uses the FAST feature detector to find image features in stereo images and determines the correspondences of the detected features in the stereo images. We define a feature window which is an image region containing several image features. The proposed technique consists of two matching steps. First, a feature window is defined in a standard image and its correspondence is found in a reference image. Second, the corresponding features between the matched windows are determined by using the feature link technique. If there is no correspondence for an image feature in the standard image, it's disparity is interpolated by neighboring feature sets. We evaluate the accuracy of the proposed technique by comparing our results with the ground truth of in a stereo image database. We also compare the matching accuracy and computation time with two conventional feature-based stereo matching techniques.
Liver Splitting Using 2 Points for Liver Graft Volumetry
Seo, Jeong-Joo ; Park, Jong-Won ;
The KIPS Transactions:PartB, volume 19B, issue 2, 2012, Pages 123~126
DOI : 10.3745/KIPSTB.2012.19B.2.123
This paper proposed a method to separate a liver into left and right liver lobes for simple and exact volumetry of the river graft at abdominal MDCT(Multi-Detector Computed Tomography) image before the living donor liver transplantation. A medical team can evaluate an accurate river graft with minimized interaction between the team and a system using this algorithm for ensuring donor's and recipient's safe. On the image of segmented liver, 2 points(PMHV: a point in Middle Hepatic Vein and PPV: a point at the beginning of right branch of Portal Vein) are selected to separate a liver into left and right liver lobes. Middle hepatic vein is automatically segmented using PMHV, and the cutting line is decided on the basis of segmented Middle Hepatic Vein. A liver is separated on connecting the cutting line and PPV. The volume and ratio of the river graft are estimated. The volume estimated using 2 points are compared with a manual volume that diagnostic radiologist processed and estimated and the weight measured during surgery to support proof of exact volume. The mean
standard deviation of the differences between the actual weights and the estimated volumes was
in the case of manual segmentation and
in the case of 2 points method. The correlation coefficient between the actual weight and the manually estimated volume is 0.79, and the correlation coefficient between the actual weight and the volume estimated using 2 points is 0.87. After selection the 2 points, the time involved in separation a liver into left and right river lobe and volumetry of them is measured for confirmation that the algorithm can be used on real time during surgery. The mean
standard deviation of the process time is
per 1 data set (
Implementation of a Single Human Detection Algorithm for Video Digital Door Lock
Shin, Seung-Hwan ; Lee, Sang-Rak ; Choi, Han-Go ;
The KIPS Transactions:PartB, volume 19B, issue 2, 2012, Pages 127~134
DOI : 10.3745/KIPSTB.2012.19B.2.127
Video digital door lock(VDDL) system detects people who access to the door and acquires the human image. Design considerations is that current consumption must be minimized by applying fast human detection algorithm because of battery-based operation. Since the digital door lock takes an image through a fixed camera, detection of a person based on background image leads to high degree of reliability. This paper deals with a single human detection algorithm suitable for VDDL with fulfilling these requirements such that it detects a moving object in an image, then identifies whether the object is a person or not using image processing. The proposed image processing algorithm consists of two steps: Firstly, it detects the human image region using both background image and skin color information. Secondly, it identifies the person using polar histogram based on proportional information of human body. Proposed algorithm is implemented in VDDL and is verified the performance through experiments.
Analysis of Sentential Paraphrase Patterns and Errors through Predicate-Argument Tuple-based Approximate Alignment
Choi, Sung-Pil ; Song, Sa-Kwang ; Myaeng, Sung-Hyon ;
The KIPS Transactions:PartB, volume 19B, issue 2, 2012, Pages 135~148
DOI : 10.3745/KIPSTB.2012.19B.2.135
This paper proposes a model for recognizing sentential paraphrases through Predicate-Argument Tuple (PAT)-based approximate alignment between two texts. We cast the paraphrase recognition problem as a binary classification by defining and applying various alignment features which could effectively express the semantic relatedness between two sentences. Experiment confirmed the potential of our approach and error analysis revealed various paraphrase patterns not being solved by our system, which can help us devise methods for further performance improvement.
Relevant Keyword Collection using Click-log
Ahn, Kwang-Mo ; Seo, Young-Hoon ; Heo, Jeong ; Lee, Chung-Hee ; Jang, Myung-Gil ;
The KIPS Transactions:PartB, volume 19B, issue 2, 2012, Pages 149~154
DOI : 10.3745/KIPSTB.2012.19B.2.149
The aim of this paper is to collect relevant keywords from clicklog data including user's keywords and URLs accessed using them. Our main hyphothesis is that two or more different keywords may be relevant if users access same URLs using them. Also, they should have higher relationship when the more same URLs are accessed using them. To validate our idea, we collect relevant keywords from clicklog data which is offered by a portal site. As a result, our experiment shows 89.32% precision when we define answer set to only semantically same words, and 99.03% when we define answer set to broader sense. Our approach has merits that it is independent on language and collects relevant words from real world data.