In the advancement of the digital book technology, the desire that we wants to read books more happily and convenient has risen. Actually, the digital book reader that we can freely specify the background color etc. appears. However, a current visual style values only the easiness of visibility, and doesn't consider the content of the novel. They do not help us to understand the contents. In the present study, we propose the automatic visual styling system used for the digital book. The system performs (1)Scene division, (2)Clustering of similar scene and (3)Mood presumption of each cluster. The result is used for visual style of novel. In this paper, we evaluated the first (1) Scene division based on time, place, and person information. By the experiment, the result of F value 0.216(0.413 correct answer in one sentence before and after) was obtained.

Recently, major information for human comes and go through computer, and recording the activity on computer can be regarded as a kind of life log of human. Unlike life log in video form, the life log of computer records are rich in text information. This make it possible to handle the record more effectively than video. This report presents a prototype system for retrieval the captured image of desk top of computer. This report also discusses various characteristic of captured image collection compared with text collection. Finally, this report presents some situation where the proposed system will be useful.

There are many methods for analyzing heavyweight and composited numeric data corresponding to various statistical matrix and types of data. Conventionally, for representation of these analytical results, charts and their extensions by three-dimensional view, animation, and interactivity are used. As one of the representations, we aim at sonification of analytical results, especially representation as music, for stimulating perceiving the difference of the target data. In this paper, we report software that generates drum play from arbitrary numeric data.

WATATUMI is a mobile electronic medical record that runs on Android. WATATUMI has access to the same database(Cache ') as PC version electronic medical records (IZANAMI). In addition, it uses a different interface with the same database. One month prior to the introduction of WATATUMI in May 2011, We operated in parallel with the nursing PDA by using smartphones in some traditional hospital rooms. The time study conducted in that period, surveyed nursing workload input. We report on the results.

In our previous work, we presented a method of extracting a pair of a major photo-spot and its hot-period, which is called a hot photo-spot, from a large number of geotagged photographs with times- tamps that many people have taken. However, as for explaining the hot photo-spots extracted, it was in general difficult to annotate them clearly since each of them can have a variety of photos. In this paper, we propose a method of explaining each hot photo-spot by classifying the photos in it based on their im- age features and attributes such as their geotags and timestamps. Using real data from "Flicer data", we experimentally demonstrate the effectiveness of the proposed method.

Recently, considerable attention has been devoted to planning sightseeing-tours by using a large number of geotagged photographs and restaurant reviews in Social Media. We have developed such a sightseeing-tour planning system that 1) extracts hot photo-spots from a set of geotagged photographs with timestamps, 2) classifies and embeds them in a 3D information space on the basis of image similarity of photographs, 3) visualizes restaurant reviews in the 3D information space, and 4) provides an immersive interaction environment in which a user explores the 3D information space in order to find his/her favorite hot photo- spots and plans his/her own sightseeing tour. Using real data from "Flickr" and "Tabe-log", we examined the effectiveness of the sightseeing-tour planning system.

We have many opportunities to write a text. However, relationship among paragraphs are hard to be grasped. Therefore, we focused on top-down structures and bottom-up structures between paragraphs. Top-down means texts that a paragraph including a conclusion or what the writer wants to say comes at first and bottom-up means texts that such a paragraph comes lastly. In this paper, a system that supports polish of text structure is proposed. Relationships between paragraphs are expressed as a tree structure and writers can confirm whether a text is top-down or bottom-up. Users of the system can polish their texts to be top-down or bottom-up by seeing output of the system.