• Proceedings of the IEEK Conference
• /
• 2003.07e
• /
• pp.1831-1834
• /
• 2003

Due to the increasing of multimedia data quantity, database searching based on image becomes important. For this scheme, MPEG-7 gives a good solution to efficient data searching. MPEG-7 uses Descriptors which are color, texture, and shape to extract features from images. It is obvious that using more than one Descriptor causes more accurate data searching result than using just one. In this paper, selecting a composite of MPEG-7 visual Descriptor using KL-Expansion is proposed.

• Journal of the Korean Home Economics Association
• /
• v.30 no.4
• /
• pp.167-182
• /
• 1992

The purpose of the study was to determine if an abstract color palette was representative of a color scheme of interior environment by which the meaning of colcor could be determined. An abstract color palette was developed by the researchers to show contrast, overlapping, and adjacencies as they might actually appear in an interior environment. Six pictures and six color palettes were used to test the meaning of color. The questionnaire consisted of 21 words to describe the color of interior environment. The sample consisted of 73 undergraduate students of varied majors. A factor analysis was used to identify the structure of color meaning. Five factors; emotional factor, factor of unity, spatial quality factor, factor of complexity, and social evaluation factor were identified. A t-test was used to analyze the difference in responses to the descriptor words for the pictures and palettes. It was found that in 14 of 21 descriptor, there was no significant difference between evaluation of color meaning for the pictures and palettes in 50% or more of the cases.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.6
• /
• pp.869-874
• /
• 2024

The spread of various digital devices, the development of communication and network technologies, and the spread of personal media services have led to an explosive increase in the production and distribution of multimedia content. Recognition and search of multimedia data such as images and videos requires a content-based recognition and search method that analyzes and quantifies the physical characteristics of the data and compares them. In content-based search of images, color and shape become important visual features. In this paper, a method to describe and search the spatial distribution of color regardless of image rotation using the complex color model to intergrate color and shape features is proposed. It was confirmed through experiments that by applying a rotation-invariant shape descriptor to a complex color image converted according to a complex color model, color-shape could be expressed and recognized regardless of rotation.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.43 no.1 s.307
• /
• pp.27-34
• /
• 2006

In this paper, we propose a combined region-based image retrieval system using EHD(Edge Histogram Descriptor) and CLD(Color Layout Descriptor) of MPEG-7 descriptors. The combined descriptor can efficiently describe edge and color features in terms of sub-image regions. That is, the basic unit for the selection of the region-of-interest (ROI) in the image is the sub-image block of the EHD, which corresponds to 16 (i.e., $4{\times}4)$ non-overlapping image blocks in the image space. This implies that, to have a one-to-one region correspondence between ELE and CLD, we need to take an $8{\times}8$ inverse DCT (IDCT) for the CLD. Experimental results show that the proposed retrieval scheme can be used for image retrieval with the ROI based image retrieval for MPEG-7 indexed images.

• Annual Conference of KIPS
• /
• 2003.05b
• /
• pp.931-934
• /
• 2003

본 논문에서는 동영상 내용 기반 검색을 위한 표준 인덱스인 color layout descriptor(CLD)에 기반한 새로운 장면전환검출 방법을 제안한다. 제안한 방법은 입력 영상을 $8{\times}8$ 블록으로 나누고, 그 블록을 대표하는 대표컬러를 선택하여 DCT 변환 후 추출된 DC, AC 계수에 가중치를 부여한 다음 슬라이딩 윈도우를 적용시켜 장면 전환을 검출한다. 이러한 방법은 영상의 전체적인 특성과 국부적인 특성을 동시에 반영하므로, 조명변화나 물체의 움직임에 민감했던 기존 대표적인 방법인 히스토그램 기반 방법과 에지 변화율을 이용한 방법들이 가지는 문제점을 보완할 수 있다. 또한 제안한 방법은 비디오 검색을 위한 MPEG-7 의 검색 서술자 중의 하나인 CLD를 이용하는데 이러한 CLD 는 컬러의 공간적 분포를 잘 설명하므로 MPEG-7 을 위한 검색 서술자에 적합한 장면전환검출 및 검색이 이루어질 수 있다. 제안한 방법을 실험한 결과 기존의 방법보다 장면전환 검출율이 높게 나타났다.

• The Journal of Korean Association of Computer Education
• /
• v.8 no.1
• /
• pp.81-91
• /
• 2005

In this paper we present a novel approach for image retrieval using color and edge information. We take into account the HSI(Hue, Saturation and Intensity) color space instead of RGB space, which emphasizes more on visual perception. In our system colors in an image are clustered into a small number of representative colors. The color feature descriptor consists of the representative colors and their percentages in the image. An improved cumulative color histogram distance measure is defined for this descriptor. And also, we have developed an efficient edge detection technique as an optional feature to our retrieval system in order to surmount the weakness of color feature. During the query processing, both the features (color, edge information) could be integrated for image retrieval as well as a standalone entity, by specifying it in a certain proportion. The content-based retrieval system is tested to be effective in terms of retrieval and scalability through experimental results and precision-recall analysis.

• Journal of Institute of Control, Robotics and Systems
• /
• v.11 no.12
• /
• pp.1083-1087
• /
• 2005

As development of digital technology, many kinds of multimedia data are used variously and requirements for effective use by user are increasing. In order to transfer information fast and precisely what user wants, effective retrieval method is required. As existing multimedia data are impossible to apply the MPEG-1, MPEG-2 and MPEG-4 technologies which are aimed at compression, store and transmission. So MPEG-7 is introduced as a new technology for effective management and retrieval of multimedia data. In this paper, we extract content-based features using color descriptor among the MPEG-7 standardization visual descriptor, and reduce feature data applying PCA(Principal Components Analysis) technique. We model the cerebral cortex and hippocampal neural network in engineering domain, and team content-based feature vectors fast and apply the hippocampal neural network algorithm to compose of optimized feature. And then we present fast and precise retrieval effect when indexing and retrieving.

• Journal of the Semiconductor & Display Technology
• /
• v.7 no.2
• /
• pp.69-76
• /
• 2008

Recently, as the multimedia processing application increases rapidly by going on increasing multimedia data, the efficient retrieval method of image information is required in many fields of application and becoming the matter of major concern. Furthermore, in the last few years rapid improvements in hardware technology have made it possible to process, store and retrieve huge amounts of data in a multimedia format. As a result, Content-Based Image Retrieval (CBIR) has been receiving widespread interest during the last decade. This paper propose the content-based retrieval system as a method for performing image retrieval through the effective feature analysis of the object of significant meaning by using YCbCr channel merging on the basis of the characteristics of man's visual system.

• The KIPS Transactions:PartB
• /
• v.10B no.2
• /
• pp.179-188
• /
• 2003

In content-based image retrieval, the query is an image itself and the retrieval process is the process that seeking the similar images to the given query image. In this way of retrieval, the user has to know the basic physical features of target images that he wants to retrieve. But it has some restriction because to retrieve the target image he has to know the basic physical feature space such as color, texture, shape and spatial relationship. In this paper, we propose an emotion-based retrieval system. It uses the emotion that color images have. It is different from past emotion-based image retrieval in point of view that it uses relevance feedback to estimate the users intend and it is easily combined with past content-based image retrieval system. To test the performance of our proposed system, we use MPEG-7 color descriptor and emotion language such as "warm", "clean", "bright" and "delight" We test about 1500 wallpaper images and get successful result.lpaper images and get successful result.

• Journal of the Korea Computer Industry Society
• /
• v.7 no.5
• /
• pp.537-544
• /
• 2006

Image Search is one of the most exciting and fast growing research areas in the filed of multimedia technology. This paper conducts an empirical evaluation of color descriptor that uses the information of color distribution in color images, which is the most basic element for image search. With the experimental results, we observe that in the top 10% of precision, HSV, Daubechies 9/7 and 2 level decomposition have little better than others. Also histogram quadratic metrics outperform the Minkowski form distance metrics in similarity measurements, but spend more than 20 in computational times.