Showing papers by "Katsumi Tanaka published in 2002"

Querying Video Data by Spatio-Temporal Relationships of Moving Object Traces

Abstract: We propose a query method that allows viewers to search video data based on the spatio-temporal relationships of moving objects using a simple and intuitive mode of input In order to make a query, for example, of a certain segment or style of play in sports footage, it is necessary to express the complex movements of objects in an intuitive manner In the proposed method, the user inputs this information as an object trajectory using a mouse or pen via a GUI The usability of our proposed method is evaluated using a prototype query system with four main function; video query based on object speed, spatially absolute or relative query based on object movement, querying of movements of multiple moving objects specifying the spatio-temporal relationships among objects by expressing each object’s trace on a timeline or multi-canvas, and providing a non-linear viewing experience by allowing the user to control playback by drawing object traces directly on the video screen while watching the video

Context-dependent Web bookmarks and their usage as queries

Abstract: Conventional Web bookmarks only contain URLs and titles of Web pages that users are interested in. This makes the process of remembering, sharing or ranking such pages difficult. The "context" of users' navigation can be described as collections of browsed pages. Conventional bookmarks do not contain such information. We believe that such context information conveys the users' intention and the importance of bookmarks. We introduce a notion of context-dependent Web bookmarks that reflects users' browsing histories. A context-dependent Web bookmark consists of (1) representative keywords of bookmarked pages and browsed pages, (2) the ranking value of bookmarked pages calculated by its context, as well as the URL and title of the page that the user bookmarked. Context-dependent bookmarks will make it possible for users to remember the situation of the bookmarking process, grasp the degree of significance of the bookmark, and share the bookmark among multiple users. Furthermore, it becomes possible to re-use context-dependent bookmarks as queries, which could be executed for unvisited Web pages. We also describe our Web browser prototype system based on the context-dependent bookmark function, and our experimental results.

Web Information Retrieval Based on the Localness Degree

Abstract: A vast amount of information is available on the WWW. There are a lot of Web pages whose content is 'local' and interesting for people in a very narrow regional area. Usually, users search for information with search engines, even though finding or excluding local information may still be difficult. In this paper, we propose a new information retrieval method that is based on the localness degree for discovering or excluding local information from the WWW. Localness degree is a new notion for estimating the local dependence and ubiquitous nature of Web pages. The localness degree is computed by 1) a content analysis of the Web page itself, to determine the frequency of occurrence of geographical words, and the geographical area (i.e., latitude and longitude) covered by the location information given on the page, and 2) a comparison of the Web page with other pages with respect to daily (ubiquitous) content. We also show some results of our preliminary experiments of the retrieval method based on the localness degree.

Web Information Retrieval Based on the Localness Degree

Abstract: A vast amount of information is available on the WWW. There are a lot of Web pages whose content is 'local' and interesting for people in a very narrow regional area. Usually, users search for information with search engines, even though finding or excluding local information may still be difficult. In this paper, we propose a new information retrieval method that is based on the localness degree for discovering or excluding local information from the WWW. Localness degree is a new notion for estimating the local dependence and ubiquitous nature of Web pages. The localness degree is computed by 1) a content analysis of the Web page itself, to determine the frequency of occurrence of geographical words, and the geographical area (i.e., latitude and longitude) covered by the location information given on the page, and 2) a comparison of the Web page with other pages with respect to daily (ubiquitous) content. We also show some results of our preliminary experiments of the retrieval method based on the localness degree.

Autonomous presentation of 3 dimensional CG contents on the Web

Abstract: Web3D technologies have made it possible for users to browse and manipulate 3D CG model data on the Web. Usually, such data requires users to interact with it in order to see its attribute information and its attached behavior. To automatically present 3D CG data and its attribute information, it is necessary to create 3D CG animation in advance. However, much time and cost is needed to create 3D CG animation that introduces its shape and its attribute information. We aim at constructing a mechanism that automatically produces 3D CG animation from the original 3D CG model data and its attribute information. 3D CG data has become popular on mobile phones such as i-mode. It is, however, difficult for users to interact with such data on mobile phones, because of their limited interaction capability and small-size screen. To cope with the problem, we also need to have a mechanism that produces 3D CG animation in an autonomous manner. We propose a way to automatically generate 3D CG animation from the original 3D CG model data and its attribute information. With the proposed method, users can browse 3D CG data and its attribute information in a "less clicking and more watching" manner. The proposed system automatically generates CG animation synchronized with synthesized speech from 3D CG contents and their attribute data. We also propose a method to generate a presentation for multiple 3D CG objects, that emphasizes the major differences in their attribute information.

Summarization and Presentation for Web Documents using Context Paths.

Abstract: In recent years, the growth of the WWW has rapidly expanded and it’s not always easy to retrieve information. Search engines are very useful, but they treat each page as an independent document. In this paper, we propose an automatic navigation method that follows users’ requirements for Web sites. This method detects the essential pages in the site and generates an ordered list of pages that present results by applying page linkage information. Furthermore, we have designed and implemented a prototype system based on our proposed method.

MWM: Retrieval and automatic presentation of Manual data for Mobile terminals

Abstract: In this paper, we propose a new way of retrieving and presenting manual data from the Web, based on a state transition diagram and data conversion into synchronized multi-modal contents. The manual data of a target device is assumed to consist of three parts: (1) manual documents in XML, (2) state transition diagrams in XML, and (3) three-dimensional computer graphics (3D CG) of the target device, which are also in XML. The prototype under development is called a Mobile Web Manual (MWM). The major features of MWM are as follows: (a) acquisition of the present state of a target device by wireless communication, (b) retrieval of manual data by finding a path between the present state and a given goal state, (c) automatic generation of 3D animation from the retrieved manual data, and (d) presentation by 3D animation synchronized with synthesized speech.

Multimedia Corpus : Multimedia Quotation Databases

Abstract: Multimedia Corpus: マルチメディアの用例のデータベース化 是津 耕司 角谷 和俊 田中 克己 †‡京都大学大学院情報学研究科社会情報学専攻 〒606-8501 京都府京都市左京区吉田本町 E-mail: †zettsu@dl.kuis.kyoto-u.ac.jp, ‡{sumiya, ktanaka}@i.kyoto-u.ac.jp あらまし 我々が日常的にマルチメディア・データを使うようになると,効果的に情報を伝えるためには正しい 文脈で正しいマルチメディア・データを使うことが大切になってくる.そこで本研究では,マルチメディア・デー タの用例をデータベース化し,マルチメディア・データがどんな状況下でどのように使われているのかを参照した り,ある状況下でよく使われるマルチメディア・データを引用したりできるようにすることを目指す.本論文では, マルチメディア・データの用例のデータベース化について,その基本的な考え方を説明するとともに,プロトタイ プの実装について述べる.マルチメディア・データの用例は,マルチメディア・データとその周辺情報とのつなが りを示した文脈情報によって表現される.テキストの KWIC メタファーを発展させたマルチメディア KWIC によ ってマルチメディア・データの用例をブラウズするとともに,用例の文脈情報を指定してマルチメディア・データ の検索を行う.最後に,サンプルの Web ページに対し Yahoo!ディレクトリやサイトマップ,Web ページ内の周辺 データを使った画像データの用例作成と,用例を指定した画像データの検索のプロトタイプ実装について述べる. キーワード マルチメディア検索,用例, 文脈, KWIC

MWM: Retrieval and Automatic Presentation of Manual Data for Mobile Terminals

Abstract: In this paper, we propose a new way of retrieving and presenting manual data from the Web, based on a state transition diagram and data conversion into synchronized multi-modal contents. The manual data of a target device is assumed to consist of three parts: (1) manual documents in XML, (2) state transition diagrams in XML, and (3) three-dimensional computer graphics (3D CG) of the target device, which are also in XML. The prototype under development is called a Mobile Web Manual (MWM). The major features of MWM are as follows: (a) acquisition of the present state of a target device by wireless communication, (b) retrieval of manual data by finding a path between the present state and a given goal state, (c) automatic generation of 3D animation from the retrieved manual data, and (d) presentation by 3D animation synchronized with synthesized speech.