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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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The KIPS Transactions:PartB
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Korea Information Processing Society
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Volume & Issues
Volume 17B, Issue 6 - Dec 2010
Volume 17B, Issue 5 - Oct 2010
Volume 17B, Issue 4 - Aug 2010
Volume 17B, Issue 3 - Jun 2010
Volume 17B, Issue 2 - Apr 2010
Volume 17B, Issue 1 - Feb 2010
Selecting the target year
An Implementation of Gaze Recognition System Based on SVM
Lee, Kue-Bum ; Kim, Dong-Ju ; Hong, Kwang-Seok ;
The KIPS Transactions:PartB, volume 17B, issue 1, 2010, Pages 1~8
DOI : 10.3745/KIPSTB.2010.17B.1.001
The researches about gaze recognition which current user gazes and finds the location have increasingly developed to have many application. The gaze recognition of existence all about researches have got problems because of using equipment that Infrared(IR) LED, IR camera and head-mounted of high price. This study propose and implement the gaze recognition system based on SVM using a single PC Web camera. The proposed system that divide the gaze location of 36 per 9 and 4 to recognize gaze location of 4 direction and 9 direction recognize user's gaze. Also, the proposed system had apply on image filtering method using difference image entropy to improve performance of gaze recognition. The propose system was implements experiments on the comparison of proposed difference image entropy gaze recognition system, gaze recognition system using eye corner and eye's center and gaze recognition system based on PCA to evaluate performance of proposed system. The experimental results, recognition rate of 4 direction was 94.42% and 9 direction was 81.33% for the gaze recognition system based on proposed SVM. 4 direction was 95.37% and 9 direction was 82.25%, when image filtering method using difference image entropy implemented. The experimental results proved the high performance better than existed gaze recognition system.
A Method of Optimal Sensor Decision for Odor Recognition
Roh, Yong-Wan ; Kim, Dong-Ku ; Kwon, Hyeong-Oh ; Hong, Kwang-Seok ;
The KIPS Transactions:PartB, volume 17B, issue 1, 2010, Pages 9~14
DOI : 10.3745/KIPSTB.2010.17B.1.009
In this paper, we propose method of correlation coefficients between sensors by statistical analysis that selects optimal sensors in odor recognition system of selective multi-sensors. The proposed sensor decision method obtains odor data from Metal Oxide Semiconductor(MOS) sensor array and then, we decide optimal sensors based on correlation of obtained odors. First of all, we select total number of 16 sensors eliminated sensor of low response and low reaction rate response among similar sensors. We make up DB using 16 sensors from input odor and we select sensor of low correlation after calculated correlation coefficient of each sensor. Selected sensors eliminate similar sensors' response therefore proposed method are able to decide optimal sensors. We applied to floral scent recognition for performance evaluation of proposed sensors decision method. As a result, application of proposed method with floral scent recognition using correlation coefficient obtained recognition rate of 95.67% case of using 16 sensors while applied floral scent recognition system of proposed sensor decision method confirmed recognition rate of 94.67% using six sensors and 96% using only 8 sensors.
Background Generation using Temporal and Spatial Information of Pixels
Cho, Sang-Hyun ; Kang, Hang-Bong ;
The KIPS Transactions:PartB, volume 17B, issue 1, 2010, Pages 15~22
DOI : 10.3745/KIPSTB.2010.17B.1.015
Background generation is very important for accurate object tracking in video surveillance systems. Traditional background generation techniques have some problems with non-moving objects for longer periods. To overcome this problem, we propose a newbackground generation method using mean-shift and Fast Marching Method (FMM) to use pixel information along temporal and spatial dimensions. The mode of pixel value density along time axis is estimated by mean-shift algorithm and spatial information is evaluated by FMM, and then they are used together to generate a desirable background in the existence of non-moving objects during longer period. Experimental results show that our proposed method is more efficient than the traditional method.
Musical Characteristics Analysis of Lee Mi-Ja and Pati Kim by Sasang Constitution Classification Method in Appearance & Manner of Speaking
Lee, Se-Hwan ; Kim, Bong-Hyun ; Cho, Dong-Uk ;
The KIPS Transactions:PartB, volume 17B, issue 1, 2010, Pages 23~30
DOI : 10.3745/KIPSTB.2010.17B.1.023
The 50th anniversary of life as popular a female singer Lee Mi-Ja & Pati Kim in this paper analyzed out their musical characteristics to apply the analysis method of the Sasang constitution. From this, we are applied appearance & manner of speaking's method to classify the constitution through the face and voice features in the Sasang constitution classification method. Therefore, we are quantitatively analyzed out result of the Sasang constitution classification through voice and face of the visual comparison of the same ages by technological application of appearance & manner of speaking 's method. Also, experiment results also are applied to Lee Mi-Ja & Pati Kim and the same experiment to confirm that the result based on the two female singers analyzed their musical characteristics through comparison and analysis to face shape and the features of a tone based on the Sasang constitution about two female singers.
An Effective P-Frame Transcoding from H.264 to MPEG-2
Kim, Gi-Hong ; Son, Nam-Rye ; Lee, Guee-Sang ;
The KIPS Transactions:PartB, volume 17B, issue 1, 2010, Pages 31~36
DOI : 10.3745/KIPSTB.2010.17B.1.031
After the launch of MPEG-2, it is widely used in multimedia applications like a Digital-TV or a DVD. Then, After the launch of H.264 at 2004, it has been expected to replace MPEG-2 and services IPTV and DMB. As we have been used to MPEG-2 devices by this time, we can not access H.264 Broadcast with MPEG-2 device. So We propose a new approach to transcode H.264 video into MPEG-2 form which can facilitate to display H.264 video with MPEG-2 device. To reduce the quality loss by transcoding, we use CPDT(Cascaded Pixel Domain Transcoder) structure. And to minimize processing time, SKIP block, INTRA block and motion vectors obtain from decoding process is employed for transcoding. we use BMA(Boundary Matching Algorithm) to select only one from candidate motion vectors. Experimental results show a considerable improved PSNR with reduction in processing time compared with existing methods.
2D Planar Object Tracking using Improved Chamfer Matching Likelihood
Oh, Chi-Min ; Jeong, Mun-Ho ; You, Bum-Jae ; Lee, Chil-Woo ;
The KIPS Transactions:PartB, volume 17B, issue 1, 2010, Pages 37~46
DOI : 10.3745/KIPSTB.2010.17B.1.037
In this paper we have presented a two dimensional model based tracking system using improved chamfer matching. Conventional chamfer matching could not calculate similarity well between the object and image when there is very cluttered background. Then we have improved chamfer matching to calculate similarity well even in very cluttered background with edge and corner feature points. Improved chamfer matching is used as likelihood function of particle filter which tracks the geometric object. Geometric model which uses edge and corner feature points, is a discriminant descriptor in color changes. Particle Filter is more non-linear tracking system than Kalman Filter. Then the presented method uses geometric model, particle filter and improved chamfer matching for tracking object in complex environment. In experimental result, the robustness of our system is proved by comparing other methods.
Design and Implementation of AR Model based Automatic Identification and Restoration Scheme for Line Scratches in Old Films
Han, Ngoc-Soc ; Kim, Seong-Whan ;
The KIPS Transactions:PartB, volume 17B, issue 1, 2010, Pages 47~54
DOI : 10.3745/KIPSTB.2010.17B.1.047
Old archived film shows two major defects: line scratch and blobs. In this paper, we present a design and implementation of an automatic video restoration system for line scratches observed in archived film. We use autoregressive (AR) image model because we can make stochastic and specifically autoregressive image generation process with our PAST-PRESENT model and Sampling Pattern. We designed locality maximizing scanning pattern, which can generate nearly stationary time-like series of pixels, which is a strong requirement for a stochastic series to be autoregressive. The sampled pixel series undergoes filtering and model fitting using Durbin-Levinson algorithm before interpolation process. We designed three-stage film restoration system, which includes (1) film acquisition from VHS tapes, (2) simple line scratch detection and restoration, and (3) manual blob identification and sophisticated inpainting scheme. We implemented film acquisition and simple inpainting scheme on Texas Instruments DSP board TMS320DM642 EVM, and implemented our AR inpainting scheme on PC for sophisticated restoration. We experimented our scheme with two old Korean films: "Viva Freedom" and "Robot Tae-Kwon-V", and the experimental results show that our scheme improves Bertalmio's scheme for subjective quality (MOS), objective quality (PSNR), and especially restoration ratio (RR), which reflects how much similar to the manual inpainting results.
A Novel Feature Map Generation and Integration Method for Attention Based Visual Information Processing System using Disparity of a Stereo Pair of Images
Park, Min-Chul ; Cheoi, Kyung-Joo ;
The KIPS Transactions:PartB, volume 17B, issue 1, 2010, Pages 55~62
DOI : 10.3745/KIPSTB.2010.17B.1.055
Human visual attention system has a remarkable ability to interpret complex scenes with the ease and simplicity by selecting or focusing on a small region of visual field without scanning the whole images. In this paper, a novel feature map generation and integration method for attention based visual information processing system is proposed. The depth information obtained from a stereo pair of images is exploited as one of spatial visual features to form a set of topographic feature maps in our approach. Comparative experiments show that correct detection rate of visual attention regions improves by utilizing depth feature compared to the case of not using depth feature.
A Multiresolution Stereo Matching Based on Genetic Algorithm using Edge Information
Hong, Seok-Keun ; Cho, Seok-Je ;
The KIPS Transactions:PartB, volume 17B, issue 1, 2010, Pages 63~68
DOI : 10.3745/KIPSTB.2010.17B.1.063
In this paper, we propose a multiresolution stereo matching method based on genetic algorithm using edge information. The proposed approach considers the matching environment as an optimization problem and finds the solution by using a genetic algorithm. A cost function composes of certain constraints which are commonly used in stereo matching. We defines the structure of chromosomes using edge pixel information of reference image of stereo pair. To increase the efficiency of process, we apply image pyramid method to stereo matching and calculate the initial disparity map at the coarsest resolution. Then initial disparity map is propagated to the next finer resolution, interpolated and performed disparity refinement. We valid our approach not only reduce the search time for correspondence but alse ensure the validity of matching.
Baleen Whale Sound Synthesis using a Modified Spectral Modeling
Jun, Hee-Sung ; Dhar, Pranab K. ; Kim, Cheol-Hong ; Kim, Jong-Myon ;
The KIPS Transactions:PartB, volume 17B, issue 1, 2010, Pages 69~78
DOI : 10.3745/KIPSTB.2010.17B.1.069
Spectral modeling synthesis (SMS) has been used as a powerful tool for musical sound modeling. This technique considers a sound as a combination of a deterministic plus a stochastic component. The deterministic component is represented by the series of sinusoids that are described by amplitude, frequency, and phase functions and the stochastic component is represented by a series of magnitude spectrum envelopes that functions as a time varying filter excited by white noise. These representations make it possible for a synthesized sound to attain all the perceptual characteristics of the original sound. However, sometimes considerable phase variations occur in the deterministic component by using the conventional SMS for the complex sound such as whale sounds when the partial frequencies in successive frames differ. This is because it utilizes the calculated phase to synthesize deterministic component of the sound. As a result, it does not provide a good spectrum matching between original and synthesized spectrum in higher frequency region. To overcome this problem, we propose a modified SMS that provides good spectrum matching of original and synthesized sound by calculating complex residual spectrum in frequency domain and utilizing original phase information to synthesize the deterministic component of the sound. Analysis and simulation results for synthesizing whale sounds suggest that the proposed method is comparable to the conventional SMS in both time and frequency domain. However, the proposed method outperforms the SMS in better spectrum matching.
Automatic Matching of Protein Spots by Reflecting Their Topology
Yukhuu, Ankhbayar ; Lee, Jeong-Bae ; Hwang, Young-Sup ;
The KIPS Transactions:PartB, volume 17B, issue 1, 2010, Pages 79~84
DOI : 10.3745/KIPSTB.2010.17B.1.079
Matching spots between two sets of 2-dimensional electrophoresis can make it possible to find out the generation, extinction and change of proteins. Generally protein spots are separated by 2-dimensional electrophoresis. This process makes the position of the same protein spot a little different according to the status of the tissue or the experimental environment. Matching the spots shows that the relation of spots is non-uniform and non-linear transformation. However we can also find that the local relation preserves the topology. This study proposes a matching method motivated by the preservation of the topology. To compare the similarity of the topology, we compared the distance and the angle between neighbour spots. Experimental result shows that the proposed method is effective.
Two-Phase Shallow Semantic Parsing based on Partial Syntactic Parsing
Park, Kyung-Mi ; Mun, Young-Song ;
The KIPS Transactions:PartB, volume 17B, issue 1, 2010, Pages 85~92
DOI : 10.3745/KIPSTB.2010.17B.1.085
A shallow semantic parsing system analyzes the relationship that a syntactic constituent of the sentence has with a predicate. It identifies semantic arguments representing agent, patient, instrument, etc. of the predicate. In this study, we propose a two-phase shallow semantic parsing model which consists of the identification phase and the classification phase. We first find the boundary of semantic arguments from partial syntactic parsing results, and then assign appropriate semantic roles to the identified semantic arguments. By taking the sequential two-phase approach, we can alleviate the unbalanced class distribution problem, and select the features appropriate for each task. Experiments show the relative contribution of each phase on the test data.
Product Evaluation Summarization Through Linguistic Analysis of Product Reviews
Lee, Woo-Chul ; Lee, Hyun-Ah ; Lee, Kong-Joo ;
The KIPS Transactions:PartB, volume 17B, issue 1, 2010, Pages 93~98
DOI : 10.3745/KIPSTB.2010.17B.1.093
In this paper, we introduce a system that summarizes product evaluation through linguistic analysis to effectively utilize explosively increasing product reviews. Our system analyzes polarities of product reviews by product features, based on which customers evaluate each product like 'design' and 'material' for a skirt product category. The system shows to customers a graph as a review summary that represents percentages of positive and negative reviews. We build an opinion word dictionary for each product feature through context based automatic expansion with small seed words, and judge polarity of reviews by product features with the extracted dictionary. In experiment using product reviews from online shopping malls, our system shows average accuracy of 69.8% in extracting judgemental word dictionary and 81.8% in polarity resolution for each sentence.