• Proceedings of the IEEK Conference
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• 2003.07d
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• pp.1511-1514
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• 2003

본 논문에서는 지능형 방송에서 내용 기반 검색 서비스에 관해 연구하였다. 이를 통해 MPEG-7 오디오/비주얼 서술자들을 이용하여 TVAF 메타데이타와 메타데이타 전송 서비스 스키마를 확장하였다. 그리고 MPEG-7 오디오 서술자를 이용한 내용 기반 검색 시 나리에 제안된 스키마를 적용하여 효용성을 증명하였다.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.5
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• pp.637-644
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• 2011

Being digitalized, the music can be easily purchased and delivered to the users. However, there is still some difficulty to find the music which fits to someone's taste using traditional music information search based on musician, genre, tittle, album title and so on. In order to reduce the difficulty, the contents-based or the emotion-based music retrieval has been proposed and developed. In this paper, we propose new method to determine the importance of MPEG-7 low-level audio descriptors which are multi-dimensional vectors for the emotion-based music retrieval. We measured the mutual similarities of musics which represent a pair of emotions expressed by opposite meaning in terms of each multi-dimensional descriptor. Then rough approximation, and inter- and intra similarity ratio from the similarity relation are used for determining the importance of a descriptor, respectively. The set of weights based on the importance decides the aggregated similarity measure, by which emotion-based music retrieval can be achieved. The proposed method shows better result than previous method in terms of the average number of satisfactory musics in the experiment emotion-based retrieval based on content-based search.

• Journal of Broadcast Engineering
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• v.9 no.1
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• pp.2-7
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• 2004

In this paper, we proposed the content-based music information retrieval technique using some MPEG-7 low-level descriptors. Especially, pitch information and timbral features can be applied in music genre classification, music retrieval, or QBH(Query By Humming) because these can be modeling the stochasticpattern or timbral information of music signal. In this work, we restricted the music domain as O.S.T of movie or soap opera to apply broadcasting system. That is, the user can retrievalthe information of the unknown music using only an audio clip with a few seconds extracted from video content when background music sound greeted user's ear. We proposed the audio feature set organized by MPEG-7 descriptors and distance function by vector distance or ratio computation. Thus, we observed that the feature set organized by pitch information is superior to timbral spectral feature set and IFCR(Intra-Feature Component Ratio) is better than ED(Euclidean Distance) as a vector distance function. To evaluate music recognition, k-NN is used as a classifier

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2003.11a
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• pp.205-208
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• 2003

디지털 방송의 발달로 인해 현재 방송 환경은 사용자가 단순히 제공되는 콘텐츠를 감상하는 수준에서 사용자가 콘텐츠와 직접 대화하는 대화형 방송이 발달하고 있다 MPEG-4 콘텐츠는 이러한 대화형 방송에 매우 부합되는 콘텐츠이며, 그 사용이 점차 증가하고 있다. 향후 MPEG-4 콘텐츠가 널리 이용될 때, MPEG-4 콘텐츠에 MPEG-7 ES를 하나의 미디어 데이터로 간주하고 MPEG-4 콘텐츠에 포함하여 전송한다면, MPEG-4 콘텐츠의 검색 및 관리가 용이해질 뿐만 아니라 MPEG-7의 다양한 기능과 결합한다면 MPEG-4 콘텐츠의 응용을 더욱 풍부히 할 수 있다. 본 논문에서는 이를 위해 MPEG-4 콘텐츠에 OCI 기술자 또는 MPEG-7 ES를 포함한 MPEG-4 콘텐츠를 재생할 수 있는 MPEG-7 over MPEG-4 시스템디코더와 그 구조에 대해 서술하였다.

• The KIPS Transactions:PartB
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• v.9B no.5
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• pp.579-586
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• 2002

The edge descriptor proposed by MPEG-7 standard is a representative approach for the contents-based image retrieval using the edge information. In the edge descriptor, the edge information is the edge histogram derived from a gray-level value image. This paper proposes a new method which extracts color edge information from color images and a new approach for the contents-based image retrieval based on the color edge histogram. The poposed method and technique are applied to image retrieval of the e-catalogue. For the evaluation, the results of image retrieval using the proposed approach are compared with those of image retrieval using the edge descriptor by MPEG-7 and the statistics shows the efficiency of the proposed method. The proposed color edge model is made by combining the R,G,B channel components vectorially and by characterizing the vector norm of the edge map. The color edge histogram using the direction of the color edge model is subsequently used for the contents-based image retrieval.

• Journal of Broadcast Engineering
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• v.9 no.2
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• pp.151-163
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• 2004

In this paper, we propose a content-based video indexing and retrieval system using MPEG-7 standard to retrieve and manage videos efficiently. The proposed system consists of video indexing module for a video DB and video retrieval module to allow various query methods on a web environment. Video indexing module stores metadata such as manually typed in keywords, automatically recognized character names, and MPEG-7 visual descriptors extracted by indexing module into a DB in a sever side. A user can access to retrieval module by a web and retrieve desired videos through various query methods like keywords, faces, example and sketch. For this retrieval system, we propose ATC(Adaptive Twin Comparison) as a cut detection method for efficient video indexing and QBME(Query By Modified Example) as an improved content-based query method for the convenience of users. Experimental results show that the proposed ATC method detects cuts well and the proposed QBME method provides the conveniences better than existing query methods such as QBE(Query By Example) and QBS(Query By Sketch).

• Proceedings of the Korea Information Processing Society Conference
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• 2003.05b
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• pp.931-934
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• 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.

• Journal of Broadcast Engineering
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• v.17 no.1
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• pp.26-36
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• 2012

Since shape of an object in an image carries important information in contents based image retrieval (CBIR), many shape description methods have been proposed to retrieve images using shape information. Among the existing shape based image retrieval methods, the method which employs invariant Zernike moment desciptor (IZMD) showed better performance compared to other methods which employ traditional Zernike moments descriptor in CBIR. In this paper, we propose a new image retrieval method which applies invariant angular radial transform descriptor (IARTD) to obtain higher performance than the method which employs IZMD in CBIR. IARTD is a rotationally invariant feature which consists of magnitudes and alligned phases of angular radial transform coefficients. To produce rotationally invariant phase coefficients, a phase correction scheme is performed while extracting the IARTD. The distance between two IARTDs is defined by combining the differences of the magnitudes and the aligned phases. Through the experiment using MPEG-7 shape dataset, the average bull's eye performance (BEP) of the proposed method is 0.5806 while the average BEPs of the exsiting methods which employ IZMD and traditional ART are 0.4234 and 0.3574, respectively.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.711-712
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• 2008

We developed a XMAS (X Multimedia Analysis System) for analyzing the illegal and objectionable multimedia in Internet environment based on Web2.0. XMAS uses the MPEG-7 visual descriptor and multi-class SVM (support vector machine) and its performance (accuracy on precision) is about 91.6% for objectionable multimedia analysis and 99.9% for illegal movie retrieval.

• Journal of the Institute of Electronics and Information Engineers
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• v.49 no.12
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• pp.124-130
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• 2012

In this paper, we propose a feature point selection method for MPEG CDVS CE-7 which is processing on International Standard task. Among a large number of extracted feature points, more important feature points which is used in image matching should be selected for the compactness of image descriptor. The proposed method is that remove the feature point in the extraction phase which is filtered by nearest neighbor distance ratio matching in the matching phase. We can avoid the waste of the feature point and employ additional feature points by the proposed method. The experimental results show that our proposed method can obtain true positive rate improvement about 2.3% in pair-wise matching test compared with Test Model.