• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.429-430
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• 2018

The introduction of mobile devices increased the need to apply limitations such as mobile devices' memory, speed, energy, and bandwidth on the designs of searching images. There is a demand to reduce such limitations on searching images on the mobile phone. Hence, this paper proposes a design that adds tags on pictures to manage the images in mobile environment, allowing efficient searches and deletion of duplicate files based on the similarities of the images. The proposed method does not compromise its efficiency by increasing costs; it also reduces the volume of data needed for mobile devices.

• Journal of Korea Multimedia Society
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• v.9 no.7
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• pp.782-800
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• 2006

Image metadata is used to describe the contents, structures, and features of a given image data. There exist lots of image metadata-related standards. Such image metadata need to be shared to efficiently search the correct images in Web Service-enabled distributed environments. In this thesis, we propose an interoperable system architecture for utilizing image metadata and query extension methods using metadata mapping for correct and efficient image searching. In the proposed methods, the provider schema using non-standard image metadata are mapped into the schema based on the VRA standard, which is used as a basic and intermediary standard in MDR(MetaData Registry). We support mapping operations between the VRA standard and other standards, to reduce the number of unnecessary mapping operations and to enable easier addition of schema based on new standards. Using the proposed query processing methods, which utilize image metadata and overcome their heterogeneity by metadata mapping, it is possible to severely improve the correctness of image retrieval. To show the usefulness of our schemes, we implemented a prototype system and performed retrieval performance evaluation on extended query processing.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.2
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• pp.343-350
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• 2022

It is worth verifying the effectiveness of data integration between data with different features. This study investigated whether the data integration affects the accuracy of deep neural network (DNN), and which integration method shows the best improvement. This study used two different public datasets. One public dataset was taken in an actual farm in India. And another was taken in a laboratory environment in Korea. Leaf images were selected from two different public datasets to have five classes which includes normal and four different types of plant diseases. DNN used pre-trained VGG16 as a feature extractor and multi-layer perceptron as a classifier. Data were integrated into three different ways to be used for the training process. DNN was trained in a supervised manner via the integrated data. The trained DNN was evaluated by using a test dataset taken in an actual farm. DNN shows the best accuracy for the test dataset when DNN was first trained by images taken in the laboratory environment and then trained by images taken in the actual farm. The results show that data integration between plant images taken in a different environment helps improve the performance of deep neural networks. And the results also confirmed that independent use of plant images taken in different environments during the training process is more effective in improving the performance of DNN.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10c
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• pp.594-596
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• 2000

인터넷 환경에서 프록시(proxy)는, 효율적인 데이터의 전송을 위해 다양한 클라이언트 장치들과 WWW 서버들간의 다리역할을 수행한다. 특히, 최근의 인터넷 환경은 이미지 같은 복잡하고 대량의 크기를 갖는 데이터 전송을 많이 요구하고 있으므로, 클라이언트 환경에 맞는 최선의 화질과 최소의 지연시간을 갖도록 데이터를 변환하여 재전송하는 트랜스코딩(transcoding)이 중요시되고 있다. 본 연구에서는 트랜스코딩을 수행하는 다수의 프록시들이 존재할 때, 클라이언트의 요구(request)와 장치(device), 또는 네트워크의 여러 가지 조건에 가장 적합한 프록시를 선택할 수 있는 수리적인 모델을 제안한다. 이러한 수리적 모델은 경로연결(redirector)내에서 동작하는 알고리즘으로서, 예상되는 지연시간과 오버플로우의 가능성을 최소화할 수 있는 최선의 프록시를 클라이언트와 서버사이에 연결함으로서 이미지 전송에 있어서 더 큰 효과를 얻을 수 있다. 실험 결과, 전체적인 지연시간을 줄일 수 있을 뿐만 아니라 클라이언트에게 적절한 양과 질의 데이터 전송효과를 가진다.

• Journal of Advanced Navigation Technology
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• v.8 no.2
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• pp.169-175
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• 2004

We analyzed about digital watermarking embedded transmission of still image in wireless multimedia communication environment. Also, we proposed improved watermark techniques. It effects that get in original image than method to use conventional image is less and shows robust watermark restoration ability from outside attack. Performance analysis achieved about still image and restoration of watermark information using OFDM/QPSK still image transmission system in wireless channel environment. Analysis result, VI watermark performance that influence in original image is very small. And it could know that show high restoration performance. Also, It showed superior copyright information extraction performance than image watermark in wireless channel environment of same transmission error condition.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.11
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• pp.79-84
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• 2015

Steganography is to conceal the existence of secrete data itself. The Emulab is a framework to provide real systems and network topology that can set up at anytime by researchers. In this paper, we show that steganography techniques can be applied in the Emulab environment. Steganography methods are evaluated on a standalone and sharing environments using the color bitmap images. The cover image is divided into RGB channels and then embedded the secret data at each client. The experimental results demonstrate that execution time is better in client/server environment as cover image size is increasing.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.8
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• pp.1655-1666
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• 2015

In this paper, user-position estimation method is proposed by using a single camera for both indoor and outdoor environments. Conventionally, the GPS of RF-based estimation methods have been widely studied in the literature for outdoor and indoor environments, respectively. Each method is useful only for indoor or outdoor environment. In this context, this study adopts a vision-based approach which can be commonly applicable to both environments. Since the distance or position cannot be extracted from a single still image, the reference images pro-stored in image database are used to identify the current position from the single still image captured by a single camera. The reference image is tagged with its captured position. To find the reference image which is the most similar to the current image, the SURF algorithm is used for feature extraction. The outliers in extracted features are discarded by using RANSAC algorithm. The performance of the proposed method is evaluated for two buildings and their outsides for both indoor and outdoor environments, respectively.

• Journal of the Korea Society of Computer and Information
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• v.13 no.1
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• pp.193-202
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• 2008

In this study, we want to composite the source image and the target image when the environment includes water surface in the target image such as lake, sea, etc. The water surface is different from other common environment. On the water surface, the object must be reflected or refract and sometimes is deformed by the wave of water. In order to composite the object in the source image onto the water image, we analyze the water surface of the target image and let the object be synthesized realistically based on the wave of water. Our composite process consists of three steps. First. we use Shape-from-Shading technique to extract the normal vector of the water surface in the target image. Next, the source image is deformed according to the normal vector map. Finally, we composite the deformed object onto the target image.

• The Journal of the Convergence on Culture Technology
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• v.4 no.2
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• pp.1-7
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• 2018

As the living environment is regarded as a key factor that affects the quality of life of the elderly, the necessity for an accurate measurement of depression for the elderly has increased. In order to diagnose accurately, it is crucial to consider variables such as the cognitive characteristics and living conditions. In this study, 301 persons over 65 years old who live in single and couple elderly households over 65 years were surveyed from 1 January 2018 to 2 February to measure the dwelling depression by applying projective images. The correlations between the dwelling depression and projective images are clarified and the reliability of the questionnaire was evaluated. The correlations between the geriatric dwelling depression index(GDDI) and the GDDI based on projective images(GDDI-I) are clarified. The accuracy of the GDDI-I is analyzed. As a result the projective image questionnaire has a correlation with the existing self-report questionnaire. It is hoped that the results will provide a basis for further researches on psychological diagnoses using the projective method.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.05a
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• pp.81-84
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• 2006

유비쿼터스 컴퓨팅 환경으로 발전하면서 문자열 위주의 획일적 형태에서 음성, 이미지 등 다양한 형태의 데이터들을 처리하게 되었으며, 또한 빠르고 정확하게 처리되기를 요구하고 있다. 현재 데이터 처리 중심부에 있는 Database는 대부분이 Relation DB 위주로 되어 있어 Datafile 에 데이터를 저장하고 있어 대용량의 이미지 데이터 처리에 적합하지가 않다. 본 논문에서는 이러한 단점을 보강하기 위해 Relation DB 하에서 대용량의 이미지 데이터 처리를 가능하게 하는 기법을 제시한다. 이렇게 함으로써 이미지 데이터를 Upload, Download 시 따른 응답 속도를 보장 할 수 있도록 LRU 알고리즘 기반으로 제안을 하였다. 본 논문에서 제안된 기법은 시뮬레이션을 통해 (1)기존 RDB(Relational Database)의 BLOB(Binary Large Object)필드를 이용한 이미지 데이터 처리 방식, (2)별도의 저장 공간에 이미지 데이터를 입/출하는 방식, (3)별도의 저장 공간에 이미지 데이터를 입/출력할 때 LRU(least Recently Used)알고리즘을 이용하는 방식에 대하여 성능 평가를 하였다. 그 결과 (3)별도의 저장 공간에 LRU(least Recently Used)알고리즘을 이용하여 입/출력하는 방식이 (1)기존의 RDB(Relational Database)형태에 BLOB(binary large object)필드를 이용한 것 보다 성능이 높음을 확인하였다.