Visual Analysis Of Children Books Illustration As a Psychiatric Therapy

One of the most acute urban problems is the emergence of psychiatric problems caused by the acceleration of daily routine. These psychiatric problems not only suffered by adults, but also children. These children generally have a problem called B.L.A.S.T. (Bored, Lonely, Angry-Afraid, Sad, Tired). To overcome this problem, there are a number of ways, including reading. Since 1802, Benjamin Rush, the father of United States psychiatry, recommends reading as part of therapy for patients with mental disorders. This therapy also applies for children by adding more illustrations wihin the books. This study analyzed three illustrated books that read by children in Indonesia from ages 7-13 years. The Illustrations analyzed by Roland Barthes's semiotic approach, to get conclusions regarding how illustration have a positive psychiatric therapy impact on children. The finding and results based on semiotic approach that, books mentioned above have the potential to overcome of B.L.A.S.T. because it contains two functions, education and entertainment. This assumption supported by theoritical view of psychologist Jean Piaget, things that educate and entertain are two important elements as a therapy for many kinds of psychiatric problems. Keywords: Children, Illustration, Psychology,Semiotics, B.L.A.S.

Design research and visual analysis

Design research has been built on the method and contextual paradigms that have been the traditions of a range of other research areas. This situation creates distinct issues and challenges for the researcher and the research community. Particularly in methods available for the visual analysis of product shape, it was sensed that the existing ones were not enough to provide information that was significant to design concerns. For the analysis of artefacts, there is a plethora of methods readily available. However it is our experience that, as borrowed investigative tools, these do not supply design-relevant information on consumer products. We discuss the need for a new way that effectively considers products as design artefacts while focusing exclusively on their outward appearance.Peer reviewe

Visual analysis for drum sequence transcription

A system is presented for analysing drum performance video sequences. A novel ellipse detection algorithm is introduced that automatically locates drum tops. This algorithm fits ellipses to edge clusters, and ranks them according to various fitness criteria. A background/foreground segmentation method is then used to extract the silhouette of the drummer and drum sticks. Coupled with a motion intensity feature, this allows for the detection of ‘hits’ in each of the extracted regions. In order to obtain a transcription of the performance, each of these regions is automatically labeled with the corresponding instrument class. A partial audio transcription and color cues are used to measure the compatibility between a region and its label, the Kuhn-Munkres algorithm is then employed to find the optimal labeling. Experimental results demonstrate the ability of visual analysis to enhance the performance of an audio drum transcription system

Visual analysis of document triage data

As part of the information seeking process, a large amount of effort is invested in order to study and understand how information seekers search through documents such that they can assess their relevance. This search and assessment of document relevance, known as document triage, is an important information seeking process, but is not yet well understood. Human-computer interaction (HCI) and digital library scientists have undertaken a series of user studies involving information seeking, collected a large amount of data describing information seekers' behavior during document search. Next to this, we have witnessed a rapid increase in the number of off-the-shelf visualization tools which can benefit document triage study. Here we set out to utilize existing information visualization techniques and tools in order to gain a better understanding of the large amount of user-study data collected by HCI and digital library researchers. We describe the range of available tools and visualizations we use in order to increase our knowledge of document triage. Treemap, parallel coordinates, stack graph, matrix chart, as well as other visualization methods, prove to be insightful in exploring, analyzing and presenting user behavior during document triage. Our findings and visualizations are evaluated by HCI and digital library researchers studying this proble

Characterizing driving behavior using automatic visual analysis

In this work, we present the problem of rash driving detection algorithm using a single wide angle camera sensor, particularly useful in the Indian context. To our knowledge this rash driving problem has not been addressed using Image processing techniques (existing works use other sensors such as accelerometer). Car Image processing literature, though rich and mature, does not address the rash driving problem. In this work-in-progress paper, we present the need to address this problem, our approach and our future plans to build a rash driving detector.Comment: 4 pages,7 figures, IBM-ICARE201

An automatic visual analysis system for tennis

This article presents a novel video analysis system for coaching tennis players of all levels, which uses computer vision algorithms to automatically edit and index tennis videos into meaningful annotations. Existing tennis coaching software lacks the ability to automatically index a tennis match into key events, and therefore, a coach who uses existing software is burdened with time-consuming manual video editing. This work aims to explore the effectiveness of a system to automatically detect tennis events. A secondary aim of this work is to explore the bene- fits coaches experience in using an event retrieval system to retrieve the automatically indexed events. It was found that automatic event detection can significantly improve the experience of using video feedback as part of an instructional coaching session. In addition to the automatic detection of key tennis events, player and ball movements are automati- cally tracked throughout an entire match and this wealth of data allows users to find interesting patterns in play. Player and ball movement information are integrated with the automatically detected tennis events, and coaches can query the data to retrieve relevant key points during a match or analyse player patterns that need attention. This coaching software system allows coaches to build advanced queries, which cannot be facilitated with existing video coaching solutions, without tedious manual indexing. This article proves that the event detection algorithms in this work can detect the main events in tennis with an average precision and recall of 0.84 and 0.86, respectively, and can typically eliminate man- ual indexing of key tennis events