• Journal of Korea Multimedia Society
• /
• v.7 no.9
• /
• pp.1219-1232
• /
• 2004

Recently, the web sites, such as e-business sites and shopping mall sites, deal with lots of catalog image information and contents. As a result, it is required to support semantic-based image retrieval efficiently on such image data. This paper presents a semantic-based image retrieval system, which adopts XML and Fuzzy technology. To support semantic-based retrieval on product catalog images containing multiple objects, we use a multi-level metadata structure which represents the product information and semantics of image data. To enable semantic-based retrieval on such image data, we design a XML database for storing the proposed metadata and study how to apply fuzzy data. This paper proposes a system, generate the fuzzy data automatically to use the image metadata, that can support semantic-based image retrieval by utilizing the generating fuzzy data. Therefore, it will contribute in improving the retrieval correctness and the user's satisfaction on semantic-based e-catalog image retrieval.

• Journal of the Korean Society for Library and Information Science
• /
• v.54 no.2
• /
• pp.419-434
• /
• 2020

The purpose of the study is to design and propose metadata standard for building AI training dataset of landmark images. In order to achieve the purpose, we first examined and analyzed the state of art of the types of image retrieval systems and their indexing methods, comprehensively. We then investigated open training dataset and machine learning tools for image object recognition. Sequentially, we selected metadata elements optimized for the AI training dataset of landmark images and defined the input data for each element. We then concluded the study with implications and suggestions for the development of application services using the results of the study.

• Journal of Korea Multimedia Society
• /
• v.3 no.3
• /
• pp.209-223
• /
• 2000

As the importance and utilization of multimedia data increases, it becomes necessary to represent and manage multimedia data within database systems. In this paper, we designed and implemented an image retrieval system which support efficient management and intelligent retrieval of image data using concept hierarchy and data mining techniques. We stored the image information intelligently in databases using concept hierarchy. To support intelligent retrievals and efficient web services, our system automatically extracts and stores the user information, the user's query information, and the feature data of images. The proposed system integrates user metadata and image metadata to support various retrieval methods on image data.

• Journal of Korean Society of Archives and Records Management
• /
• v.20 no.2
• /
• pp.67-83
• /
• 2020

Many local governments in Korea provide online services for people to easily access the audio-visual archives of events occurring in the area. However, the current method of managing these archives of the local governments has several problems in terms of compatibility with other organizations and convenience for searching of the archives because of the lack of standard metadata and the low utilization of image information. To solve these problems, we propose the metadata design and machine learning-based automatic indexing technology for the efficient management of the image archives of local governments in Korea. Moreover, we design metadata items specialized for the image archives of local governments to improve the compatibility and include the elements that can represent the basic information and characteristics of images into the metadata items, enabling efficient management. In addition, the text and objects in images, which include pieces of information that reflect events and categories, are automatically indexed based on the machine learning technology, enhancing users' search convenience. Lastly, we developed the program that automatically extracts text and objects from image archives using the proposed method, and stores the extracted contents and basic information in the metadata items we designed.

• Journal of the Korean Society for information Management
• /
• v.18 no.4
• /
• pp.15-35
• /
• 2001

This paper suggests metadata as an effective search tool suitable for moving images on the web. Dublin Core, a leading metagata sceme of web resources, and MPEG-7, a coming international standard developed by MPEG, are used to construct a hybrid metadata scheme. RDF is selected as a framework for a matadata description and Moving Image Core was developed as a RDF schema. Finally, RDF/XML encoded metadata of moving images are retrieved throuth web-based database system using ASP technology.

• International Journal of Contents
• /
• v.4 no.4
• /
• pp.12-17
• /
• 2008

The web 2.0 is leading a rapid change of internet services. The UCC(User Created Contents) service is one of the representative internet services with web 2.0 paradigm. In this paper, we design and implement the UCC services prototype system for image and video. The proposed system does not need to install ActiveX and client programs on devices of users to edit their contents. All processes for editing UCC are conducted on the server. Our proposed system consists of the two components such as the multimedia editing subsystem and the metadata management system. They provide the API to UCC service developers or vendors. The multimedia editing subsystem supports editing for image and video, and the streaming services of video. The metadata management subsystem supports the metadata management and retrieval of image and video.

• The Journal of the Korea Contents Association
• /
• v.8 no.2
• /
• pp.48-56
• /
• 2008

In this paper, we design and implement the UCC services prototype system for image and video. The proposed system consists of the two components such as the multimedia processing subsystem and the metadata management subsystem. It provides the API to UCC service developers. The multimedia processing subsystem supports the media management and editing of image and video, and the streaming services of video. The metadata management subsystem supports the metadata management and retrieval of image and video. The reply management and script processing of UCC are given in the subsystem.

• Journal of Korea Multimedia Society
• /
• v.7 no.1
• /
• pp.132-144
• /
• 2004

With the rapid development of internet technology, the number of internet users and the amount of multimedia information on the internet is ever increasing. Recently, the web sites, such as e-business sites and shopping mall sites, deal with lots of image information. As a result, it is required to support content- based image retrieval efficiently on such image data. This paper proposes an intelligent image retrieval system, which adopts XML, technology. To support object-based col)tent retrieval on product catalog images containing multiple objects, we describe a multi -level metadata structure which represents the local features, global features, and semantics of image data. To enable semantic-based and content-based retrieval on such image data, we design a XML-Schema for the proposed metadata and show how to represent such metadata using XML- documents. We also describe how to automatically transform the retrieval results into the forms suitable for the various user environments, such as web browser or mobile browser, using XSLT The proposed scheme can be easily implemented on any commercial platforms supporting XML technology. It can be utilized to enable efficient image metadata sharing between systems, and it will contribute in improving the retrieval correctness and the user's satisfaction on content-based e-catalog image retrieval.

• Journal of Internet Computing and Services
• /
• v.9 no.5
• /
• pp.99-108
• /
• 2008

This paper proposes an image retrieval system which integrates metadata, contents, and emotions in textile images. First, the proposed system searches images using metadata. Among searched images, the system retrieves similar images based on color histogram, color sketch, and emotion histogram. To extract emotion features, this paper uses emotion colors which was proposed on 160 emotion words by H. Nagumo. To enhance the user's convenience, the proposed textile image retrieval system provides additional functions as like enlarging an image, viewing color histogram, viewing color sketch, and viewing repeated patterns.

• The KIPS Transactions:PartB
• /
• v.11B no.5
• /
• pp.573-580
• /
• 2004

As the modern techniques have improved, people intend to store and manage the information on the web. Especially, it is the image data that is given a great deal of weight of the information because of the development of the scan and popularization of the digital camera and the cell-phone's camera. However, most image retrieval systems are still based on the text annotations while many images are creating everyday on the web. In this paper, we suggest the new approach for the semantic image retrieval using the RDF metadata based on the representation of the spatial relationships. For the semantic image retrieval, firstly we define the new vocabularies to represent the spatial relationships between the objects in the image. Secondly, we write the metadata about the image using RDF and new vocabularies. Finally. we could expect more correct result in our image retrieval system.