• Journal of the Institute of Electronics Engineers of Korea SD
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• v.46 no.7
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• pp.47-52
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• 2009

H.264 video coding standard is widely used due to the high compression rate and quality. The motion compensation is the most time-consuming and complex unit in the H.264 decoder. The performance of the motion compensation is determined by the calculation of pixel interpolation and management of the reference pixels. The reference pixels read from external memory using efficient memory management for data reuse is necessary along with the high performance interpolators. We propose the architecture of a motion compensation unit for H.264 decoders. It is composed of 2-dimensional circular register files, a motion vector predictor and high performance interpolators with low complexity. The 2-dimensional circular register files reuse reference pixel data as much as possible, and feed reference pixel data to interpolators without any latency and complex logic circuits. We design a motion compensation unit and a intra-prediction unit and integrate them into a prediction unit and verify the operation and the performance.

• The KIPS Transactions:PartB
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• v.13B no.3 s.106
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• pp.309-314
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• 2006

Recently, multimedia DBMS is appeared to be the core technology of the information society to store, manage and retrieve multimedia data efficiently. In this paper, we propose a new method for content based-retrieval system using wavelet transform, energy value to extract automatically feature vector from image data, and suggest an effective retrieval technique through this method. Wavelet transform is widely used in image compression and digital signal analysis, and its coefficient values reflect image feature very well. The correlation in wavelet domain between query image data and the stored data in database is used to calculate similarity. In order to assess the image retrieval performance, a set of hundreds images are run. The method using standard derivation and mean value used for feature vector extraction are compared with that of our method based on energy value. For the simulation results, our energy value method was more effective than the one using standard derivation and mean value.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10e
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• pp.481-483
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• 2002

압축한 비디오데이타를 네트워크으로 전송 시 채널이 불안정한 경우 패킷이 분실될 우려가 있다. 패킷 분실은 대부분 버스트오류로 나타난다. 본 연구에서는 디코더에서 버스트오류를 효과적으로 은닉, 처리하는 방법으로 오류 내성 비디오 인코딩 방법을 제안한다. 이를 위해 공간적 오류은닉법으로 오류 패킷 분실을 야기시키는 손실 블록을 분리하는데 효과적인 블록 인터리빙을 적용한다. 시간적 오류 은닉에 대해서는 연속적인 내부프레임 또는 프레임간에 움직임벡터의 프레임간 패리티 비트를 삽입하는 구조를 적용한다. 비디오 인코딩 단계를 거쳐 디코더에서 수신한 블록들에 대해서는 쌍선형 보간법을 적용하여 전송시 발생한 국지적 오류를 적절하게 은닉 처리한다. 본 논문에서 제안한 인코딩 방법을 전송 블록에 부가 데이터로 포함하는 것은 표준 엔코더의 복잡도에 거의 영향을 미치지 않는다.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10c
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• pp.37-39
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• 2001

본 논문은 여러 가지 데이터 압축 표준에서 채택하고 있는 이차원 이산 여현 변환과 그 역 변환 (DCT/IDCT)를 위한 효율적인 비동기식 행렬 벡터 곱셈기를 설계하였다. 본 논문에서 제안되어진 곱셈기는 일반적으로 DCT/IDCT의 입력 데이터가 대부분 zero입력이거나 또는 작은 비트수로 표현 가능하다는 점을 이용하여 저전력 고성능 동작을 구현할 수 있도록 설계하였다. 비동기식 설계 방식을 채택하여 Zero입력일 경우 곱셈과정을 생략하고, 정적 회로에 기초한 특정 계산 완료 인지 방식(Speculative Completion Sensing)와 비트 분할된 곱셈기를 이용하여 입력 비트 슬라이스에 대해 동적으로 회로의 계산부분을 활성화/비활성화를 동작을 할 수 있도록 설계되어졌다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.24 no.5
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• pp.379-387
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• 2006

The real world is spatially modelled conceptually either as discrete objects or earth surface. The generated data models are then usually represented as vector and raster respectively. Although there are limited cases where only one data model is sufficient to solve the spatial problem at hand, it is now generally accepted that GIS should be able to handle various types of data model. Recent advances in spatial technology introduced even more variety of heterogeneous data models and the need is ever growing to handle and manage efficiently these large variety of spatial data. The OGC (Open GIS Consortium), an international organization pursuing standardization in the geospatial industry. recently introduced the GMLJP2 (Geographic Mark-Up Language JP2) format which enables store and handle heterogeneous spatial data. The GMLJP2 format, which is based on the JP2 format which is an abbreviation for JPEG2000 wavelet image compression format, takes advantage of the versatility of the GML capabilities to add extra data on top of the compressed image. This study takes a close look into the GMLJP2 format to analyse and exploit its potential to handle and mange hetergeneous spatial data. Aerial image, digital map and LIDAR data were successfully transformed end archived into a single GMLJP2 file. A simple viewing program was made to view the heterogeneous spatial data from this single file.

• Journal of KIISE:Software and Applications
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• v.26 no.1
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• pp.52-65
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• 1999

이미지나 비디오, 오디오와 같이 멀티미디어 데이터들은 기존의 단순한 텍스트 기반의 데이터에 비하여 대용량적인 특성과 비정형적인 특성을 가지고 있어서 검색시 많은 어려움이 따른다. 본 논문에서는 대규모의 이미지 데이터베이스에서 효율적이고 신속하게 사용자가 원하는 이미지를 검색할수 있는 내용 기반 검색 시스템을 제시한다. 이를 위해서 본 논문에서는 최근 여러 장점으로 인하여 신호 분석이나 이미지 압축 분야에 많이 사용되는 웨이브릿 변환을 이용하여 이미지 데이터로부터 내용 기반 검색에 사용되는 특징 벡터를 효율적으로 추출하는 기법과 유사성 측정 방법을 제안한다. 그리고, 이러한 특징 추출방법과 유사성 측정 방법을 이용하여 내용 기반 질의 및 검색을 수행할 경우, 검색 조건을 만족하는 객체인데 실수로 검색해내지 못하는 경우인 false dismissals 이 발생하지 않음을 보인다. 또한 대규모 이미지 데이터베이스에서 신속한 내용 기반 검색을 지원하기 위하여 고차원 데이터에 대한 효율적인 색인을 제공하는 X-tree를 이용한 이미지 색인 방법을 보이며 이것이 기존의 순차 검색이나 R*-tree를 이용한 색인 방법보다 신속하게 이미지 데이터들을 검색할 수 있다는 것을 다양한 실험을 통해 보인다. 마지막으로 QBIC에서 제안한 검색 적합성 측정 방법을 이용하여 본 논문에서 제안하는 내용 기반 이미지 검색시스템의 검색 적합성을 보인다.

• The KIPS Transactions:PartB
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• v.13B no.2 s.105
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• pp.105-114
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• 2006

In ubiquitous environment where various kinds of computers are embedded in persons, objects and environment and they are interconnected and can be used in my place as necessary, different types of data need to be exchanged between heterogeneous machines through home network. In the environment, the efficient processing, transmission and monitoring of image data are essential technologies. We need to make research not only on traditional image processing such as spatial and visual resolution, color expression and methods of measuring image quality but also on transmission rate on home network that has a limited bandwidth. The present study proposes a new motion vector estimation algorithm for transmitting, processing and controlling image data, which is the core part of contents in home network situation and, using algorithm, implements a real time monitoring system of multi dimensional images transmitted from multiple cameras. Image data of stereo cameras to be transmitted in different environment in angle, distance, etc. are preprocessed through reduction, magnification, shift or correction, and compressed and sent using the proposed metamorphosis hierarchical motion vector estimation algorithm for the correction of motion. The proposed algorithm adopts advantages and complements disadvantages of existing motion vector estimation algorithms such as whole range search, three stage search and hierarchical search, and estimates efficiently the motion of images with high variation of brightness using an atypical small size macro block. The proposed metamorphosis hierarchical motion vector estimation algorithm and implemented image systems can be utilized in various ways in ubiquitous environment.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.34 no.1
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• pp.25-33
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• 2021

With the development of machine learning techniques, various types of data such as vibration, temperature, and flow rate can be used to detect and diagnose abnormalities in machine conditions. In particular, in the field of the state monitoring of rotating machines, the fault diagnosis of machines using vibration data has long been carried out, and the methods are also very diverse. In this study, an experiment was conducted to collect vibration data from normal and abnormal compressors by installing accelerometers directly on rotary compressors used in household air conditioners. Data segmentation was performed to solve the data shortage problem, and the main features for the fault classification model were extracted through the chi-square test after statistical and physical features were extracted from the vibration data in the time domain. The support vector machine (SVM) model was developed to classify the normal or abnormal conditions of compressors and improve the classification accuracy through the hyperparameter optimization of the SVM.

• Journal of Korea Multimedia Society
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• v.8 no.8
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• pp.1134-1141
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• 2005

With ever more popularity of video web-publishing, popular content is being compressed, reformatted and modified, resulting in excessive content duplication. Such overlapped data can cause problem of search speed and rate of searching. However, duplicated data on other site can provide alternatives while specific site cause problem. This paper proposes the efficient method, for retrieving. similar video data in large database. In this research we have used the method to compare summarized video image instead of the raw video data, and detected similar videos through clustering in that dimension feature vector through PCA(principle component analysis). We show that our proposed method is efficient and accurate through our experiment.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2002.05a
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• pp.201-204
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• 2002

Although the reuse of the cached data for scrolling the map reduces the amount of passed data between client and server, it needs the conversions of data coordinates, selective deletion of objects and cache compaction at client. The conversion is time intensive operation due to limited resources of mobile phones such as low computing power, small memory. Therefore, for the efficient map control in the vector map service based mobile phone, it is necessary to study the method for reducing wireless network bandwidth and for overwhelming the limited resources of mobile phone as well. This paper proposes the methods for caching pre-received spatial objects in client-server systems for mobile GIS. We also analyze the strengths and drawbacks between the reuse of cached data and transmission of raw data respectively.