• Journal of Broadcast Engineering
• /
• v.18 no.2
• /
• pp.319-322
• /
• 2013

Image retrieval research activity has moved its focus from global descriptors to local descriptors of feature point such as SIFT. MPEG is Currently working on standardization of effective coding of location and local descriptors of feature point in the context mobile based image search driven application in the name of MPEG-7 CDVS (Compact Descriptor for Visual Search). The extracted feature points consist of two parts, location information and Descriptor. For efficient image retrieval, we proposed a novel method that is gradual block-based efficient lossy location coding to compress location information according to distribution in images. From experimental result, the number of average bits per feature point reduce 5~6% and the accuracy rate keep compared to state of the art TM 3.0.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.35 no.11C
• /
• pp.929-939
• /
• 2010

The growth of multimedia technology forces the development of video detection for large database management and illegal copy detection. To meet this demand, this paper proposes a fast video detection method to apply to a large database. The fast video detection algorithm uses spatial features using the gray value distribution from frames and temporal features using the temporal similarity map. We form the video signature using the extracted spatial feature and temporal feature, and carry out a stepwise matching method. The performance was evaluated by accuracy, extraction and matching time, and signature size using the original videos and their modified versions such as brightness change, lossy compression, text/logo overlay. We show empirical parameter selection and the experimental results for the simple matching method using only spatial feature and compare the results with existing algorithms. According to the experimental results, the proposed method has good performance in accuracy, processing time, and signature size. Therefore, the proposed fast detection algorithm is suitable for video detection with the large database.

• Journal of the Korean Society for Aeronautical & Space Sciences
• /
• v.46 no.11
• /
• pp.911-920
• /
• 2018

In this study, we performed a study to track the angle between the guided weapon and the target by using the strap-down image seeker, and constructed a test bed that can simulate it visually. This paper describes a method to maintain high-performance feature distribution in the implementation of sparse feature tracking algorithm such as Lucas Kanade's optical flow algorithm for target tracking using image information. We have extended the feature tracking problem to the concept of feature management. To realize this, we constructed visual environment using Unity3D engine and developed image processing simulation using OpenCV. For the co-simulation, dynamic system modeling was performed with Matlab Simulink, the visual environment using Unity3D was constructed, and computer vision work using OpenCV was performed.

• Journal of Distribution Science
• /
• v.22 no.7
• /
• pp.1-11
• /
• 2024

Purpose: Shopee, Indonesia's most frequently visited marketplace in November 2023, had 427.2 million visits. Supported by the live streaming feature, Shopee has become the most widely used online shopping platform, with an 83.4% market share in 2022. Several factors, such as brand trust and promotions, have significantly influenced Shopee's dominance and consumer purchasing decisions. This research aims to investigate the effect of cosmetic product distribution, brand trust, and promotions on purchasing decisions, considering gender and age as control variables. Research design, data and methodology: A quantitative approach using a survey research method was employed with a sample of 150 respondents, who were followers of the Shopee ESQA Cosmetics account, obtained through the Yamane formula. Data was collected via an online questionnaire. The data analysis technique used in this study was PLS-SEM with Smart PLS software. The results of this research indicate a significant effect of the distribution of cosmetics products, brand trust, promotions, gender, and age as control variables on the purchase decision variable. Conclusions: The distribution of cosmetic products, brand trust and promotions have a positive and significant impact on purchase decisions during live streaming on Shopee, and control variables (gender and age 36-45) have a positive and significant influence on purchase decisions.

• Journal of Internet Computing and Services
• /
• v.2 no.4
• /
• pp.1-10
• /
• 2001

In this paper, we define requirements for call distribution of service control logic in Intelligent Network, Also, we propose call distribution mechanism for every subscriber with different call distribution rates, The call distribution mechanism had been developed as a function of Premium-rate Service in Intelligent Network. Our call distribution mechanism applies to percentage distribution instead of circular or hierarchical distribution. The call distribution mechanism consists of call input. output. call distribution processing logic part, random number generator, and customers database. We propose the practical implementation of a call distribution mechanism and call distribution decision indicating number computation method. We show three methods, the rand() function in C language, microsecond by system clock, and proposed algorithm, to get call distribution decision indicating number. In order to optimal call distribution mechanism, we estimated the results of three methods on occurrence values and the number of occurrences.

• Journal of Institute of Control, Robotics and Systems
• /
• v.21 no.2
• /
• pp.130-136
• /
• 2015

In this paper, we propose a robust curved lane marking detection method. Several lane detection methods have been proposed, however most of them have considered only straight lanes. Compared to the number of straight lane detection researches, less number of curved-lane detection researches has been investigated. This paper proposes a new curved lane detection and tracking method which is robust to various illumination conditions. First, the proposed methods detect straight lanes using a robust road feature image. Using the geometric relation between a vehicle camera and the road plane, several circle models are generated, which are later projected as curved lane models on the camera images. On the top of the detected straight lanes, the curved lane models are superimposed to match with the road feature image. Then, each curve model is voted based on the distribution of road features. Finally, the curve model with highest votes is selected as the true curve model. The performance and efficiency of the proposed algorithm are shown in experimental results.

• Journal of the Korea Computer Industry Society
• /
• v.7 no.5
• /
• pp.545-554
• /
• 2006

RFID could be applied in the various fields such as distribution beside, circulation, traffic and environment on information communication outside. So this can speak as point of ubiquitous computing's next generation technology. However, it is discussed problem of RFID security recently, so we must prepare thoroughly about RFID security for secure information. In this paper, we proposed a method which could protect private information and ensure RFID's identification effectively storing face feature information on RFID tag. Our method which is improved linear discriminant analysis has reduced dimension of feature information which has large size of data. Therefore, we can sore face feature information in small memory field of RFID tag. Our propose d algorithm has shown 92% recognition rate in experimental results and can be applied to entrance control management system, digital identification card and others.

• Journal of Institute of Control, Robotics and Systems
• /
• v.20 no.11
• /
• pp.1098-1102
• /
• 2014

Localization of aerial vehicles and map building of flight environments are key technologies for the autonomous flight of small UAVs. In outdoor environments, an unmanned aircraft can easily use a GPS (Global Positioning System) for its localization with acceptable accuracy. However, as the GPS is not available for use in indoor environments, the development of a SLAM (Simultaneous Localization and Mapping) system that is suitable for small UAVs is therefore needed. In this paper, we suggest a vision-based SLAM system that uses vision sensors and an AHRS (Attitude Heading Reference System) sensor. Feature points in images captured from the vision sensor are obtained by using GPU (Graphics Process Unit) based SIFT (Scale-invariant Feature Transform) algorithm. Those feature points are then combined with attitude information obtained from the AHRS to estimate the position of the small UAV. Based on the location information and color distribution, a Gaussian process model is generated, which could be a map. The experimental results show that the position of a small unmanned aircraft is estimated properly and the map of the environment is constructed by using the proposed method. Finally, the reliability of the proposed method is verified by comparing the difference between the estimated values and the actual values.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• v.29 no.1
• /
• pp.3-9
• /
• 2005

This paper is aimed to analysis the logistics system of the Jeju island. Jeju island has a special feature about logistics system different from inland. In recent gradually increase of the jeju freight volumes but it has some problems about the port facilities shortage. We try to find the problems of the jeju and propose that an improvement plan.

• Korean Journal of Fisheries and Aquatic Sciences
• /
• v.49 no.2
• /
• pp.214-223
• /
• 2016

Joint time-frequency images of the broadband acoustic echoes of six fish species were obtained using the smoothed pseudo-Wigner-Ville distribution (SPWVD). The acoustic features were extracted by changing the sliced window widths and dividing the time window by a 0.02-ms interval and the frequency window by a 20-kHz bandwidth. The 22 spectrum amplitudes obtained in the time and frequency domains of the SPWVD images were fed as input parameters into an artificial neural network (ANN) to verify the effectiveness for species-dependent features related to fish species identification. The results showed that the time-frequency approach improves the extraction of species-specific features for species identification from broadband echoes, compare with time-only or frequency-only features. The ANN classifier based on these acoustic feature components was correct in approximately 74.5% of the test cases. In the future, the identification rate will be improved using time-frequency images with reduced dimensions of the broadband acoustic echoes as input for the ANN classifier.