• Title/Summary/Keyword: object search

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Search Algorithm for Advanced Transmission Rate based on Probabilistic Proportion Search of Distributed Objects (분산 객체의 확률적 비례 검색 기반 전송률 향상 검색 알고리즘)

  • Kim, Boon-Hee
    • Journal of the Korea Society of Computer and Information
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    • v.11 no.3
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    • pp.49-56
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    • 2006
  • A special feature of P2P distributed system isn't always the guarantee of online status for peers. In other words we want to download the file from the peer when we use the P2P system but it sometimes caused this system to fail the download. Many studies to resolve this problem depend on re-transmission method. It caused to lower performance so we have to resolve this problem. In this study, we analysis the average usage time of P2P application user and raise the resource transmission guarantee to apply the selection criteria of resource supplier. Moreover the combinations of distributed object replication techniques, the role to enhance the data transmission opportunity of high popularity resource. will cause this search algorithm to advance.

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Structurally Enhanced Correlation Tracking

  • Parate, Mayur Rajaram;Bhurchandi, Kishor M.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.10
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    • pp.4929-4947
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    • 2017
  • In visual object tracking, Correlation Filter-based Tracking (CFT) systems have arouse recently to be the most accurate and efficient methods. The CFT's circularly shifts the larger search window to find most likely position of the target. The need of larger search window to cover both background and object make an algorithm sensitive to the background and the target occlusions. Further, the use of fixed-sized windows for training makes them incapable to handle scale variations during tracking. To address these problems, we propose two layer target representation in which both global and local appearances of the target is considered. Multiple local patches in the local layer provide robustness to the background changes and the target occlusion. The target representation is enhanced by employing additional reversed RGB channels to prevent the loss of black objects in background during tracking. The final target position is obtained by the adaptive weighted average of confidence maps from global and local layers. Furthermore, the target scale variation in tracking is handled by the statistical model, which is governed by adaptive constraints to ensure reliability and accuracy in scale estimation. The proposed structural enhancement is tested on VTBv1.0 benchmark for its accuracy and robustness.

Moving Objects Modeling for Supporting Content and Similarity Searches (내용 및 유사도 검색을 위한 움직임 객체 모델링)

  • 복경수;김미희;신재룡;유재수;조기형
    • Journal of Korea Multimedia Society
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    • v.7 no.5
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    • pp.617-632
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    • 2004
  • Video Data includes moving objects which change spatial positions as time goes by. In this paper, we propose a new modeling method for a moving object contained in the video data. In order to effectively retrieve moving objects, the proposed modeling method represents the spatial position and the size of a moving object. It also represents the visual features and the trajectory by considering direction, distance and speed or moving objects as time goes by. Therefore, It allows various types of retrieval such as visual feature based similarity retrieval, distance based similarity retrieval and trajectory based similarity retrieval and their mixed type of weighted retrieval.

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Target Object Search Algorithm under Dynamic Programming in the Tree-Type Maze (Dynamic Programming을 적용한 트리구조 미로내의 목표물 탐색 알고리즘)

  • Lee Dong-Hoon;Yoon Han-Ul;Sim Kwee-Bo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.15 no.5
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    • pp.626-631
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    • 2005
  • This paper presents the target object search algorithm under dynamic programming (DP) in the Tree-type maze. We organized an experimental environment with the concatenation Y-shape diverged way, small mobile robot, and a target object. By the principle of optimality, the backbone of DP, an agent recognizes that a given whole problem can be solved if the values of the best solution of certain ancillary problem can be determined according to the principle of optimality. In experiment, we used two different control algorithms: a left-handed method and DP. Finally we verified the efficiency of DP in the practical application using a real robot.

Vantage Point Metric Index Improvement for Multimedia Databases

  • Chanpisey, Uch;Lee, Sang-Kon Samuel;Lee, In-Hong
    • Proceedings of the Korean Information Science Society Conference
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    • 2011.06c
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    • pp.112-114
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    • 2011
  • On multimedia databases, in order to realize the fast access method, indexing methods for the multidimension data space are used. However, since it is a premise to use the Euclid distance as the distance measure, this method lacks in flexibility. On the other hand, there are metric indexing methods which require only to satisfy distance axiom. Since metric indexing methods can also apply for distance measures other than the Euclid distance, these methods have high flexibility. This paper proposes an improved method of VP-tree which is one of the metric indexing methods. VP-tree follows the node which suits the search range from a route node at searching. And distances between a query and all objects linked from the leaf node which finally arrived are computed, and it investigates whether each object is contained in the search range. However, search speed will become slow if the number of distance calculations in a leaf node increases. Therefore, we paid attention to the candidates selection method using the triangular inequality in a leaf node. As the improved methods, we propose a method to use the nearest neighbor object point for the query as the datum point of the triangular inequality. It becomes possible to make the search range smaller and to cut down the number of times of distance calculation by these improved methods. From evaluation experiments using 10,000 image data, it was found that our proposed method could cut 5%~12% of search time of the traditional method.

Development of Hand-drawn Clothing Matching System Based on Neural Network Learning (신경망 모델을 이용한 손그림 의류 매칭 시스템 개발)

  • Lim, Ho-Kyun;Moon, Mi-Kyeong
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.6
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    • pp.1231-1238
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    • 2021
  • Recently, large online shopping malls are providing image search services as well as text or category searches. However, in the case of an image search service, there is a problem in that the search service cannot be used in the absence of an image. This paper describes the development of a system that allows users to find the clothes they want through hand-drawn images of the style of clothes when they search for clothes in an online clothing shopping mall. The hand-drawing data drawn by the user increases the accuracy of matching through neural network learning, and enables matching of clothes using various object detection algorithms. This is expected to increase customer satisfaction with online shopping by allowing users to quickly search for clothing they are looking for.

Real-Time Object Detection System Based on Background Modeling in Infrared Images (적외선영상에서 배경모델링 기반의 실시간 객체 탐지 시스템)

  • Park, Chang-Han;Lee, Jae-Ik
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.46 no.4
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    • pp.102-110
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    • 2009
  • In this paper, we propose an object detection method for real-time in infrared (IR) images and PowerPC (PPC) and H/W design based on field programmable gate array (FPGA). An open H/W architecture has the advantages, such as easy transplantation of HW and S/W, support of compatibility and scalability for specification of current and previous versions, common module design using standardized design, and convenience of management and maintenance. Proposed background modeling for an open H/W architecture design decreases size of search area to construct a sparse block template of search area in IR images. We also apply to compensate for motion compensation when image moves in previous and current frames of IR sensor. Separation method of background and objects apply to adaptive values through time analysis of pixel intensity. Method of clutter reduction to appear near separated objects applies to median filter. Methods of background modeling, object detection, median filter, labeling, merge in the design embedded system execute in PFC processor. Based on experimental results, proposed method showed real-time object detection through global motion compensation and background modeling in the proposed embedded system.

Analysis of the Marital Relationship in "Vegetarian" of the Han Gang : Focusing on Object Relation Theory (한강의 「채식주의자」 부부 관계 분석 : 대상관계이론을 중심으로)

  • Choi, Ji-Won
    • The Journal of the Korea Contents Association
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    • v.20 no.12
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    • pp.582-592
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    • 2020
  • The purpose of this research is to analyze the psychological dynamics of the characters in the novel 'vegetarian' of the Han Gang and the relationship patterns in the system by applying object relation theory. 'Vegetarianism' has already been analyzed and reinterpreted in various angles, but if you look at it from the object relationship theory and the systematic perspective, you can understand the inevitable history of the generation through psychological analysis and relation dynamics of the person. First, we will analyze the psychological dynamics of the characters by analyzing the meanings and exploring the meaning with the object relation theory and concept. The psychological analysis and the search process of the characters based on the theory are enough evidence for the counselor to reinterpret the life story of the client in the future clinical scene. In addition, in order to realize ethical but practical clinical education, the field of clinical practice will be extended when analyzing the characters using art. It is suggested that the meaning search through various character analysis needs to be accumulated culturally.

An Object Recognition Method Based on Depth Information for an Indoor Mobile Robot (실내 이동로봇을 위한 거리 정보 기반 물체 인식 방법)

  • Park, Jungkil;Park, Jaebyung
    • Journal of Institute of Control, Robotics and Systems
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    • v.21 no.10
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    • pp.958-964
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    • 2015
  • In this paper, an object recognition method based on the depth information from the RGB-D camera, Xtion, is proposed for an indoor mobile robot. First, the RANdom SAmple Consensus (RANSAC) algorithm is applied to the point cloud obtained from the RGB-D camera to detect and remove the floor points. Next, the removed point cloud is classified by the k-means clustering method as each object's point cloud, and the normal vector of each point is obtained by using the k-d tree search. The obtained normal vectors are classified by the trained multi-layer perceptron as 18 classes and used as features for object recognition. To distinguish an object from another object, the similarity between them is measured by using Levenshtein distance. To verify the effectiveness and feasibility of the proposed object recognition method, the experiments are carried out with several similar boxes.

A Study on Optimized Information Search Algorithm Using lava (Java를 이용한 정보 검색 최적화 알고리즘에 관한 연구)

  • 김용호;정종근;이윤배
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.6 no.6
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    • pp.797-804
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    • 2002
  • As internet use is being generalized central of WWW(World Wide Web) service of multimedia based recently, we could acquire many informations that exist to all over the world's computer network .Therefore, picking up of information became important problem before that internet is generalized, but it is risen to important problem to acquire correct information rapidly on modem society that use of internet is generalized. This paper designed internet search engine and understand structure of internet search engine drawing URL that is optimized, and secure embodiment technology using Java that is language of object base. Search engine that proposed in this paper maintained user's the convenience by offer keyword search, and simplify user interface And although quantity of searched information site is few, search engine show that the bad link rate of searched result is improved compare with existent domestic manufacture search engines.