• Journal of the Korean Institute of Telematics and Electronics B
• /
• v.33B no.7
• /
• pp.60-69
• /
• 1996

To retrieve complex data such as images in multimedia information, we need the content-based retrieval methods based on the visual properties rather than keywords. In this paper, a contrent-based image retrieval system is desinged and implemented to retrieve images using the features of images such as colors, lines and intensity vetor features when a visual query inputs. The contents for image retrievals are the color features extracted from the color component of 16 blocks of the image, th eline features extracted form 4 lines in the image and the shape features extracted from the intensity vectors of the 16 blocks. We can either use a whole image or a sketch image for query. As the experimental results demonstrate the precision 91% the recall 33% and the average rank 3.1 the retrieval performance is found to be high. The experimental results indicate that the retrieval using the weighted features have led to substantial improvement in the percision and performance of system.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.45 no.3
• /
• pp.30-36
• /
• 2008

The multimedia that is characterized by multi-media, multi-features, multi-representations, huge volume, and varieties, is rapidly spreading out due to the increasing of application domains. Thus, it is urgently needed to develop a multimedia information system that can retrieve the needed information rapidly and accurately from the huge amount of multimedia data. For the content-based retrieval of moving picture, picture information is generally used. It is generally used when video is segmented. Through that, it can be a structural video browsing. The tasking that divides video to shot is called video segmentation, and detecting the cut for video segmentation is called cut detection. The goal of this paper is to divide moving picture using HMMD(Hue-Mar-Min-Diff) color model and edge histogram descriptor among the MPEG-7 visual descriptors. HMMD color model is more familiar to human's perception than the other color spaces. Finally, the proposed retrieval system is implemented as hardware.

• The Journal of the Korea Contents Association
• /
• v.10 no.8
• /
• pp.130-137
• /
• 2010

An advancement and wide use of portable multimedia devices make it easy to spread digital sound source, enabling users to use portable multimedia devices and search and enjoy digital sound sources and related contents. In opposition the off-line musical service market with CD stagnates gradually and in the crisis where the off-line musical service market vanishes away. In this paper, we propose the mobile music album information retrieval system which combines the barcode and a cellular phone musical service. To get digital sound sources and related information from music albums, the proposed retrieval system uses one-dimensional barcodes attached to music albums and obtains information on related albums from the sound source servers. Also, to reflect user preferences in search results, the system uses search frequency by music album, and searches albums in music genres selected by users in the order of the recent preference. The proposed mobile music album retrieval system is implemented on the basis of WIPI, and is now providing pilot services.

• 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.

• Proceedings of the Korean Information Science Society Conference
• /
• 2007.06c
• /
• pp.98-103
• /
• 2007

본 논문에서는 기존 인터넷이 되는 곳에서만 할 수 있었던 도서 검색과 예약.대출을 모바일로 언제 어디서나 이용할 수 있고, 사용자의 편의를 보다 극대화 시키고 유동적, 실용적인 측면에서 연구발전 시켰다.

• Proceedings of the KSRS Conference
• /
• 2007.10a
• /
• pp.314-316
• /
• 2007

Currently for the development of internet and network technology, since request of service for the large volume multimedia data has been more increased, multimedia users want the convenience and accuracy of multimedia service system about storing and retrieving of the multimedia contents. To satisfy the request of users, metadata management for the diverse information of multimedia contents is very important. However, the metadata management for the multimedia contents is difficult because the metadata standards are different each other for the type of multimedia data and service. In this paper, we propose the integration metadata management system structure which extends previous metadata management system based on text for the multimedia contents metadata which are expressed differently each other according to the multimedia data or service type.

• The Journal of Korean Association of Computer Education
• /
• v.5 no.3
• /
• pp.45-58
• /
• 2002

In this paper, we propose the new approach with which user is able to retrieve the massive volume of learning contents in the multimedia learning system. In order to secure the compatibility of learning contents. we apply the SMIL on the basis of XML, so that the integration and the synchronization of multimedia components can be available to realize in the mode of standardization. We also implement the multimedia learning contents represented by the RDF on the IEEE LOM. We present the two step-retrieval method to get precise results. In the first step, user can find with high speed and ease whatever contents user wants to take a look through metadata in the system. The second step is followed that by using the time information of SMIL, user can retrieve the interest synchronous parts in the result of the first step. This innovative retrieval approach applied in the multimedia learning system is highly expected to make a meaningful contribution to implement the principles of self-directed learning in the learning environments, where user can use and revise the retrieval results for their own learning purpose and make further the active knowledge-reconstruction.

• Journal of Korea Society of Industrial Information Systems
• /
• v.7 no.4
• /
• pp.9-16
• /
• 2002

Content based Image retrieval methods in the multimedia information retrievals use primary visual features such as color, texture and shape. Color and texture generally are used as features of the image retrieval systems. But these systems may produce errors in similar image retrieval because two images with different shapes can represent very different contents. Therefore, the use of shape describing features is essential in an efficient content based image retrieval system. In this paper, after the global features filtering process by the boundary of objects, we have created a better shape similarity image retrieval system by a histogram of shape information.

• Journal of Korea Multimedia Society
• /
• v.1 no.2
• /
• pp.173-182
• /
• 1998

As a result of remarkable developments in multimedia technology, the image database system that can efficiently retrieve image data becomes a core technology of information-oriented society. In this paper, we proposed the 2-phase Image Retrieval System considering both color and shape information as the method of image features extraction for content-based image data retrieval. At the first level, to get color information, with improving and extending the indexing method using color distribution characteristic suggested by Striker et al., i.e. the indexing method considering local color distribution characteristics, the system roughly classifies images through the improved method. At the second level, the system finally retrieves the most similar image from the image queried by the user using the shape information about the image groups classified at the first level. To extract the shape information, we use the Improved Moment Invariants (IMI) that manipulates only the pixels on the edges of objects in order to overcome two main problems of the existing Moment Invariant methods large amount of processing and rotation sensitiveness which can frequently be seen in the Directive Histogram Intersection technique suggested by Jain et al. Experiments have been conducted on 300 automobile images. And we could obtain the more improved results through the comparative test with other methods.

• Proceedings of the KIEE Conference
• /
• 2007.07a
• /
• pp.1665-1667
• /
• 2007

Recently, retrieval of various video data has become an important issue as more and more multimedia content services are being provided. To effectively deal with video data, a semantic-based retrieval scheme that allows for processing diverse user queries and saving them on the database is required. In this regard, this paper proposes a semantic-based video retrieval system that allows the user to search diverse meanings of video data for electrical safetyrelated educational purposes by means of automatic annotation processing. If the user inputs a keyword to search video data for electrical safety-related educational purposes, the mobile agent of the proposed system extracts the features of the video data that are afterwards learned in a continuous manner, and detailed information on electrical safety education is saved on the database. The proposed system is designed to enhance video data retrieval efficiency for electrical safety-related educational purposes.