• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.926-930
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• 2006

Current image retrieval techniques have shortcomings that make it difficult to search for images based on a semantic understanding of what the image is about. Since an image is normally associated with multiple contexts (e.g. when and where a picture was taken,) the knowledge of these contexts can enhance the quantity of semantic understanding of an image. In this paper, we present a context-aware image retrieval system, which uses the context information to infer a kind of metadata for the captured images as well as images in different collections and databases. Experimental results show that using these kinds of information can not only significantly increase the retrieval accuracy in conventional content-based image retrieval systems but decrease the problems arise by manual annotation in text-based image retrieval systems as well.

• Spatial Information Research
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• v.4 no.1
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• pp.75-81
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• 1996

Realty Trade Information Hanagement System(RTIMS) is intended to provide the services relat¬ed to realty business activity such as registration, search, negotiation, and information analysis. Introduction of the geographic information processing concept into the system has a great effect on the overall service processes of the realty business. This system is designed and implemented for remote users to easily get the informations about the target realty and to achieve a proper negotiation, by offering the various kinds of geographic informations including map, moving picture, photo, and so on. Futher, users can access RTIMS through WWW(World Wide Web) without additional client emulator.

• Proceedings of the IEEK Conference
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• 1998.10a
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• pp.841-844
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• 1998

Korean Text to Sign Language Traslator could be applied to learn letters for both the deaf and hard-of-hearing people, and to have a conversation with normal people. This paper describes some useful dictionaries for developing korean text to sign language translator; Base sign language dictionary, Compound sign language dictionary, and Resemble sign language dictionary. As korean sign language is composed entirely of about 6,000 words, the additional dictionaries are required for matching them to korean written language. We design base sign language dictionary which was composed of basic symbols and moving picture of korean sign language, and propose the definition of compound isng language dictionary which was composed of symbols of base sing language. In addition, resemble sign language dictionary offer sign symbols and letters which is used same meaning in conversation. By using these methods, we could search quickly sign language during korean text to sign language translating process, and save storage space. We could also solve the lack of sign language words by using them, which are appeared on translating process.

• Proceedings of the Korea Multimedia Society Conference
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• 2003.11b
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• pp.1006-1009
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• 2003

In a motion estimation method for use in encoding a moving picture, a full-pixel motion vector is estimated by stochastically sampling a pixel to be processed in a predetermined-sized block of a previous frame or a next frame as a reference frame for each of a plurality of equal-sized blocks in a current frame. Then, a half-pixel motion vector is estimated based on the full-pixel motion vector. Accordingly, both the calculation amount and the calculation time required for the motion estimation are effectively reduced. Further, it can be prevented that the hardware becomes complicated. .

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.5C
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• pp.364-370
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• 2005

The first step of face recognition is to align an input face picture with database images. We propose a new algorithm of removing registration error in eigenspace. Our algorithm can correct for translation, rotation and scale changes. Linear matrix modeling of registration error enables us to compensate for subpixel errors in eigenspace. After calculating derivative of a weighting vector in eigenspace we can obtain the amount of translation or rotation without time consuming search. We verify that the correction enhances the recognition rate dramatically.

• Clinical Endoscopy
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• v.51 no.6
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• pp.591-595
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• 2018

Intussusception after colonoscopy is an unusual complication. A MEDLINE search revealed only 7 reported cases. We present a report of a 28-year-old man who developed abdominal pain several hours after routine colonoscopy and in whom computed tomography (CT) revealed colocolic intussusception. We postulate that this condition is iatrogenic and induced by suctioning of gas on withdrawal of the colonoscope. A common observation among the reported cases was abdominal pain several hours after colonoscopy and right-sided intussusception. All cases had colonoscopy reaching the right side of the colon. Treatment for adult intussusception remains controversial with regard to reduction versus resection, especially given the high association with a pathological cause and malignancy. Among the 8 reported cases, only the current case did not require surgery. A combination of benign colonoscopy, CT, and the clinical picture should provide sufficient information to initially choose a more conservative treatment approach.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.6
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• pp.1996-2011
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• 2021

To understand a trend is to explore the intricate process of how something or a particular situation is constantly changing or developing in a certain direction. This exploration is about observing and describing an unknown field of knowledge, not testing theories or models with a preconceived hypothesis. The purpose is to gain knowledge we did not expect and to recognize the associations among the elements that were suspected or not. This generally requires examining a massive amount of data to find information that could be transformed into meaningful knowledge. That is, looking through the lens of big-data analytics with an inductive reasoning approach will help expand our understanding of the complex nature of a trend. The current study explored the trend of well-being in South Korea using big-data analytic techniques to discover hidden search patterns, associative rules, and keyword signals. Thereafter, a theory was developed based on inductive reasoning - namely the hook, upward push, and downward pull to elucidate a holistic picture of how big-data implications alongside social phenomena may have influenced the well-being trend.

• Electronics and Telecommunications Trends
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• v.38 no.2
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• pp.56-65
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• 2023

The combination between metaverse and non-fungible token (NFT), which opens up new opportunities for the media industry, raised expectations for a new economic system and business model. Of course, last year, various institutions and researchers continuously introduce representative metaverse services and business strategies such as Roblox, Fortnite, and ZEPETO. However, as 2022 progresses, the reaction to the metaverse is tepid than expected. Search volume on Google has been continuously decreasing. Furthermore, skepticism, regarded as one of the special phenomena caused by the coronavirus disease 2019 pandemic, is expanding since December 2021. Nevertheless, analysis or contemplation of a new business model related to the metaverse, which is still ongoing, is essential for those who must prepare for the future. The reason is that even if without being activated now, advanced preparation can help when various problems arise. In this study, we look at the metaverse and NFT biz models and estimate a picture of the future. In other words, the social and economic problems that may arise when the business model is expanded are summarized, and technical and policy measures are derived as solutions.

• Journal of Daesoon Thought and the Religions of East Asia
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• v.3 no.1
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• pp.13-32
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• 2023

Both the late 15th-century Unicorn Tapestries now at the Cloisters Museum in New York and Daesoon Jinrihoe's Simudo Paintings present a religious narrative through the symbol of the search for an animal that is then subdued. This is now the prevailing scholarly interpretation of the New York Unicorn Tapestries, with the unicorn representing Jesus Christ, although a concurrent reading alluding to human love cannot be excluded. The article examines the New York Unicorn Tapestries according to their Christological interpretation, rooted in traditions about the unicorn popularized by the German medieval mystic Hildegard of Bingen, although in fact much older. It then discusses the Buddhist iconographic tradition of ox-herding paintings that represents an antecedent for the Simudo Paintings and notes the latter's differences and similarities with the New York Unicorn Tapestries.

• Journal of Broadcast Engineering
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• v.5 no.2
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• pp.247-259
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• 2000

This paper introduces a new technique that reduces the search times and Improves the accuracy of motion estimation using high temporal and spatial correlation of motion vector. Instead of using the fixed first search Point of previously proposed search algorithms, the proposed method finds more accurate first search point as to compensating searching area using high temporal and spatial correlation of motion vector. Therefore, the main idea of proposed method is to find first search point to improve the performance of motion estimation and reduce the search times. The proposed method utilizes the direction of the same coordinate block of the previous frame compared with a block of the current frame to use temporal correlation and the direction of the adjacent blocks of the current frame to use spatial correlation. Based on these directions, we compute the first search point. We search the motion vector in the middle of computed first search point with two fixed search patterns. Using that idea, an efficient adaptive predicted direction search algorithm (APDSA) for block matching motion estimation is proposed. In the experimental results show that the PSNR values are improved up to the 3.6dB as depend on the Image sequences and advanced about 1.7dB on an average. The results of the comparison show that the performance of the proposed APDSA algorithm is better than those of other fast search algorithms whether the image sequence contains fast or slow motion, and is similar to the performance of the FS (Full Search) algorithm. Simulation results also show that the performance of the APDSA scheme gives better subjective picture quality than the other fast search algorithms and is closer to that of the FS algorithm.