• Journal of the Institute of Electronics Engineers of Korea CI
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• v.39 no.1
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• pp.67-74
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• 2002

A study on image searching and management techniques is actively developed by user requirements for multimedia information that are existing as images, audios, texts data from various information processing devices. If we can automatically detect and segment changing scenes from real-time image sequences, we can improve an effectiveness of image searching systems. In this paper, we propose cut detection techniques based on image color distribution and we evaluated its performance on various real-time image sequences. Results of experiments show that the proposed method are robust on various image patterns than color histogram method using statistical informations of images. Also, these methods can be used for cut detection on real-time image sequences.

• Cartoon and Animation Studies
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• s.50
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• pp.215-237
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• 2018

I analyze orange that is consistently used, even though not consciously, in the films whose function and meaning are clear. In detail, there are examples of color in films, psychological phenomena of colors expressed in posters and opening titles, color characteristics of clothes and costumes, and semiotic analysis of color names in film titles. (1) Fact and Truth; civilization and criticism. The film tries to tell the truth than the fact. It represents facts as it is, but it presupposes truth. This is a unique characteristic of media films. The truth of the fact is not important. The film tells the truth believing and wanting to show off. The film, which has inherent characteristics of the gap between fact and truth, represents nature and civilization. It carries nature as it is and criticizes the harm of civilization. Orange is nature and civilization. Realistic films such as Hong Sang Soo and Kim Ki Duk, fall into this category. For example, there are A Taxi Driver(2017) and I Can Speak(2017). (2) Virtual History; fake images and memories. In Hollywood SF genres like The Matrix(1999), orange was dealt with virtual reality. However, in Korean films they are replaced by historical dramas. The representation of history becomes a virtual reality. Films such as The Fortress(2017), Masquerade(2012), and Roaring Currents(2014) deal with virtual history. In these films, orange is a fake image and memory. (3) Light=color; Aura. The color and light of orange is aura. At sunrise and sunset, the orange of the incandescent light is almost similar to that of the artificial light. Orange of tungsten makes the real characters surrealistic and mysterious. For example, there are The City of Madness(2016), The Man from Nowhere(2010), and Coinlocker Girl(2014). (4) Fantasy; communication with other worlds. Orange is a sweet fantasy. In our daily life, we go to a supermarket, share a chat with friends in a coffee shop, and spend time in front of a television. Orange makes our life free and dreams. It is the communication between the former being and the other world. This can be found in the sexual fantasy scenes of all genres. For example, there are Sunny(2011), Welcome To Dongmakgol(2005), and 200 Pounds Beauty(2006).

• Proceedings of the KIEE Conference
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• 2006.07d
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• pp.1973-1974
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• 2006

The mean shift algorithm has achieved considerable success in object tracking due to its simplicity and robustness. It finds local maxima of a similarity measure between the color histograms of the target and candidate image. However, the mean shift tracking algorithm using only color histograms has a serious defect. It doesn't use the spatial information of the target. Thus, it is difficult to model the target more exactly. And it is likely to lose the target during the occlusions of other objects which have similar color distributions. To deal with these difficulties we use both color information and spatial information of the target. Our proposed algorithm is robust to occlusions and scale changes in front of dynamic, unstructured background. In addition, our proposed method is computationally efficient. Therefore, it can be executed in real-time.

• Biotechnology and Bioprocess Engineering:BBE
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• v.9 no.5
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• pp.419-422
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• 2004

Textile wastewater from the Pusan Dyeing Industrial Complex (PDIC) was treated utilizing a two-stage continuous system, composed of an upflow anaerobic sludge blanket reactor and an activated Sludge reactor. The effects of color and organic leading rates were studied by varying the hydraulic retention time and influent glucose concentration. The maximum color load to Satisfy the legal discharge limit of color intensity in Korea (400 ADMI, unit of the American Dye Manufacturers Institute) was estimated to be 2,700 $ADMI{\cdot}L^{-1}\;day^{-1}$. This study Indicates that the two-stage anaerobic/aerobic reaction system is potentially useful in the treatment of textile wastewater.

• Proceedings of the IEEK Conference
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• 2009.05a
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• pp.222-224
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• 2009

This paper presents an algorithm that extracts road lane's specific information by using HSI color information and performance enhancement of lane detection base on vision processing of drive assist. As a preprocessing for high speed lane detection, the optimal extraction of region of interest for lane boundary(ROI-LB) can be processed to reduction of detection region in which high speed processing is enabled and it also increases reliabilities by deleting edges those are misrecognized. Road lane is extracted with simultaneous processing of noise reduction and edge enhancement using the Laplacian filter, the reliability of feature extraction can be increased for various road lane patterns. Since noise can be removed by using saturation and brightness of HSI color model. Also it searches for the road lane's color information and extracts characteristics. The real road experimental results are presented to evaluate the effectiveness of the proposed method.

• IEIE Transactions on Smart Processing and Computing
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• v.3 no.6
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• pp.382-387
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• 2014

A computational approach to depth estimations using a color over lapped integral imaging system is presented. The proposed imaging system acquires multiple color images simultaneously through a single lens with an array of multiple pinholes that are distributed around the optical axis. This paper proposes a computational model of the relationship between the real distance of an object and the disparity among different color images. The proposed model can serve as a computational basis of a single camera-based depth estimation.

• 한국정보디스플레이학회:학술대회논문집
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• 2009.10a
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• pp.1065-1068
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• 2009

The current study introduces a new color space applicable to next-generation media such as UHDTV and 3D-TV systems that are in the middle of development. Display referred approach was taken into account rather than scene referred approach for deriving a new RGB-primary set forming the new color space. The reproducible color range generated by the newly suggested RGB-primary set encompasses almost entire real-world surface colors with a very good efficiency.

• Journal of information and communication convergence engineering
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• v.8 no.1
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• pp.51-58
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• 2010

This paper proposes an edge adaptive color interpolation for an ultra-small HD-grade complementary metal-oxide semiconductor (CMOS) video sensor in camera phones that can process 720-p/30-fps videos. Recently, proposed methods with great image quality perceptually reconstruct the green component and then estimate the red/blue component using the reconstructed green and neighbor red and blue pixels. However, these methods require the bulky memory line buffers in order to temporally store the reconstructed green components. The edge adaptive color interpolation method uses seven or nine patterns to calculate the six edge directions. At the same time, the threshold values are adaptively adjusted by the sum of the color values of the selected pixels. This method selects the suitable one among the patterns using two flowcharts proposed in this paper, and then interpolates the missing color values. For verification, we calculated the peak-signal-to-noise-ratio (PSNR) in the test images, which were processed by the proposed algorithm, and compared the calculated PSNR of the existing methods. The proposed color interpolation is also fabricated with the 0.18-${\mu}m$ CMOS flash memory process.

• IEIE Transactions on Smart Processing and Computing
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• v.5 no.6
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• pp.383-389
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• 2016

This paper presents a novel automatic white balance (AWB) algorithm for consumer imaging devices. While existing AWB methods require reference white patches to correct color, the proposed method performs the AWB function using only an input image in two steps: i) white point detection, and ii) color constancy gain computation. Based on the dark channel prior assumption, a white point or region can be accurately extracted, because the intensity of a sufficiently bright achromatic region is higher than that of other regions in all color channels. In order to finally correct the color, the proposed method computes color constancy gain values based on the Y component in the XYZ color space. Experimental results show that the proposed method gives better color-corrected images than recent existing methods. Moreover, the proposed method is suitable for real-time implementation, since it does not need a frame memory for iterative optimization. As a result, it can be applied to various consumer imaging devices, including mobile phone cameras, compact digital cameras, and computational cameras with coded color.

• The KIPS Transactions:PartB
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• v.12B no.7 s.103
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• pp.721-728
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• 2005

This paper suggests effective object detection system for moving objects with specified color and motion information. The proposed detection system includes the object extraction and definition process which uses MCN(Multiple Color Normalization) and MCWUPC(Moving Color Weighted Unmatched Pixel Count) computation to decide the existence of moving object and object segmentation technique using signature information is used to exactly extract the objects with high probability. Finally, real time detection system is implemented to verify the effectiveness of the technique and experiments show that the success rate of object tracking is more than $89\%$ of total 120 image frames.