• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.1
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• pp.37-43
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• 2015

Technical treatments of image contents on the web include the copy protection method such as the image capture protection technology and the traitor tracing method to detect unauthorized duplications through watermarking insertion or feature information technology. However, these two methods have their own weaknesses. The image capture protection method is unable to protect illegal captures when the URLs of image sources are exposed. The traitor tracing method is fundamentally unable to protect illegal captures due to its post-treatment method. Besides, the weakness of using the copyright information display technology involves easy removal of copyright information from copyrighted contents. This paper suggests a model of the web image contents protection system which makes it hard to separate copyright information from web image contents and allows image contents to be shown only in the authorized websites.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.465-470
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• 2018

This study investigated how layouts can be arranged to improve the user experience in response to changes in the size of responsive webs in a multi - device environment. The layout elements of the responsive web are largely divided into a header, a main concept image, a main content, a sub-content, and a footer. As the screen becomes smaller, the use of drawers and the menu of the scrolling menus rather than the vertical menus will help improve the user experience. The main concept image should be consistent and not lose readability through the use of system fonts. The main content and the sub content should be prevented from being long in the vertical scroll, and the card UI, the table list and the grid list could be alternatively presented for this purpose. Another problem with vertical scrolling is that the placement of user-selectable menus, such as more or new content corrections, is helpful in improving the user experience.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2019.06a
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• pp.173-175
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• 2019

Animated images formats such as WebP are highly portable graphics formats that are being used everywhere on the Internet. Despite their small sizes and duration, WebP image previews the video without watching the entire content with minimum bandwidth. This paper proposed a novel method to generate personalized WebP images in the client side using its computation resources. The proposed system automatically extracts the WebP image from climax point using music analysis. Based on user interest, the system predicts the genre using Convolutional Neural Network (CNN). The proposed method can easily integrate with streaming platforms such as YouTube, Netflix, Hulu, and others.

• The KIPS Transactions:PartB
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• v.11B no.1
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• pp.35-44
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• 2004

Web contents created for desktop screens give rise to problems when they are to be displayed on the small screens of mobile terminals. While in some cases some of the objects of a page may not be displayable due to the lack of browser capability, the entire page may not be displayable due to the incompatibility with the browser in other cases. In this paper, we introduce a new mobile content adaptation approach based on web clipping, which transforms an original page into one that is optimally displayed on a mobile terminal. In this method, a source page is automatically clipped and transformed according to the clip specification made by the content provider using a clip editing tool. The clip editing tool allows the user to specify group clips, multi-level cups and dynamic clips as well as simple clips, and the presentation layout through a graphic user interface. Based on the clip specifications, each clip is transformed into an intermediate meta-language document, which in turn is transformed into a presentation page in the target markup language. Transcoding of image objects in major image file formats is also supported.

• International Journal of Computer Science & Network Security
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• v.23 no.11
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• pp.93-98
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• 2023

Instagram is one of the fastest-growing online photo social web services where users share their life images and videos with other users. Image tagging is an essential step for developing Automatic Image Annotation (AIA) methods that are based on the learning by example paradigm. Hashtags can be used on just about any social media platform, but they're most popular on Twitter and Instagram. Using hashtags is essentially a way to group together conversations or content around a certain topic, making it easy for people to find content that interests them. Practically on average, 20% of the Instagram hashtags are related to the actual visual content of the image they accompany, i.e., they are descriptive hashtags, while there are many irrelevant hashtags, i.e., stophashtags, that are used across totally different images just for gathering clicks and for search ability enhancement. Hence in this work, Sorting instagram hashtags all the way through mass tagging using HITS (Hyperlink-Induced Topic Search) algorithm is presented. The hashtags can sorted to several groups according to Jensen-Shannon divergence between any two hashtags. This approach provides an effective and consistent way for finding pairs of Instagram images and hashtags, which lead to representative and noise-free training sets for content-based image retrieval. The HITS algorithm is first used to rank the annotators in terms of their effectiveness in the crowd tagging task and then to identify the right hashtags per image.

• Journal of Korea Multimedia Society
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• v.15 no.9
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• pp.1165-1173
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• 2012

One of the most popular technologies in Web2.0 is tagging, and it widely applies to Web content as well as multimedia data such as image and video. Web users have expected that tags by themselves would be reused in information search and maximize the search efficiency, but wrong tag by irresponsible Web users really has brought forth a incorrect search results. In past papers, we have gathered various information resources and tags scattered in Web, mapped one tag onto other tags, and clustered these tags according to the corelation between them. A 3-tag based search algorithm which use the clustered tags of past papers, is proposed in this paper. For performance evaluation of the proposed algorithm, our algorithm is compared with image search result of Flickr, typical tag based site, and is evaluated in accuracy and recall factor.

• The KIPS Transactions:PartD
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• v.14D no.3 s.113
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• pp.339-346
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• 2007

The objective of this study is to satisfy requirements for a variety of terminals to play wired web page contents in ubiquitous environment constantly connected to network. In other words, this study intended to automatically transcode wired web page into mobile web page in order to receive service by using mobile base to carry contents in Internet web page. To achieve this objective, we suggest the method that is to directly enter URL of web page in mobile device and to check contents of the current web page. For this, web page is converted into an image and configured into a mobile web page suitable for personal terminals. Users can obtain the effect of having web services provided by using computer with interfaces to expand, reduce and move the web page as desired. This is a caret unit play method, with which contents of web page are transcoded and played to suit each user According to the method proposed in this study, contents of wired web page can be played by using a mobile device. This study confirms that a single content can be serviced to suit users of various terminals. Through this, it will be able to reuse numerous wired web contents as mobile web contents.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.310-312
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• 2019

Many technologies developed by the Fourth Industrial Revolution. These technologies are available to many users over the Web using the Web standard HTML5. As the content offered on the web increases, the number of users using the web increases and the importance of web speed increases. Because users expect the web page to load faster, as the web page loading speed increases, users will leave the page. That is, web page loading rates and page departure rates are proportional. Therefore, it is necessary to speed up web page loading by increasing the speed at which content is provided. In this paper, let's check through an experiment how it can be provided faster when providing images on the Web with regard to images that are one of the contents provided through the Web. Based on the results of these experiments, we want to identify faster ways to provider images over the web and provide images in that way to reduce page departure rates and provide more user-friendly services.

• Journal of the Korean Society of Food Culture
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• v.24 no.6
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• pp.677-691
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• 2009

In this study, the symbols and visual expressions employed in the food culture content of official website designed to promote three cities in Korea, Seoul, Jeonju and Jeju, were subjected to semiotic analysis. In this study, it was assumed that these websites reflected the varying perspectives of the people behind the development and management of these routes of Internet communication, and the semiotic choices made in order to exemplify each city's food cultural image. The aim of the study was to analyze the communication strategies of food cultural branding in the terms of the online content regarding Seoul, Jeonju, and Jeju with a focus on the comparative points in these cities' official websites. This study included conducting semiotic content analyses of the aforementioned cities' official web pages in an attempt to determine the food branding strategies used to differentiation and produce more favorable perceptions of these three cities. Building upon the findings drawn from this comparative study, the present work can be used to determine more effective ways of strategically differentiating the images of local food culture associated with these cities from the view of brand communications. This study also demonstrates viable directions for designing web content for a city where the food cultural messages can be delivered in a thoughtful and effective manner.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.562-566
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• 2009

In this paper, we present a novel system to categorize web image search results using emotional concepts and to browse the results more conveniently and easily. The proposed system can categorize search results into 8 emotional categories based on emotion vector, which obtained by color and pattern features. Here, we use Kobayashi’s emotional categories: {romantic, natural, casual, elegant, chic, classic, dandy and modern}. With search results for a given query, the proposed system can provide categorized images for each emotional category. With 1,000 Yahoo! search images, we compared the proposed method with Yahoo! image search engine in respect of satisfaction, efficiency, convenience and relevance with a user study. Our experimental results show the effectiveness of the proposed method.