Guidelines for the presentation and visualisation of lifelog content

Lifelogs offer rich voluminous sources of personal and social data for which visualisation is ideally suited to providing access, overview, and navigation. We explore through examples of our visualisation work within the domain of lifelogging the major axes on which lifelogs operate, and therefore, on which their visualisations should be contingent. We also explore the concept of ‘events’ as a way to significantly reduce the complexity of the lifelog for presentation and make it more human-oriented. Finally we present some guidelines and goals which should be considered when designing presentation modes for lifelog conten

A query description model based on basic semantic unit composite Petri-Net for soccer video

Digital video networks are making available increasing amounts of sports video data. The volume of material on offer means that sports fans often rely on prepared summaries of game highlights to follow the progress of their favourite teams. A significant application area for automated video analysis technology is the generation of personalized highlights of sports events. One of the most popular sports around world is soccer. A soccer game is composed of a range of significant events, such as goal scoring, fouls, and substitutions. Automatically detecting these events in a soccer video can enable users to interactively design their own highlights programmes. From an analysis of broadcast soccer video, we propose a query description model based on Basic Semantic Unit Composite Petri-Nets (BSUCPN) to automatically detect significant events within soccer video. Firstly we define a Basic Semantic Unit (BSU) set for soccer videos based on identifiable feature elements within a soccer video, Secondly we design Composite Petri-Net (CPN) models for semantic queries and use these to describe BSUCPNs for semantic events in soccer videos. A particular strength of this approach is that users are able to design their own semantic event queries based on BSUCPNs to search interactively within soccer videos. Experimental results based on recorded soccer broadcasts are used to illustrate the potential of this approach

Increasing the ICJ\u27s Influence as a Court of Human Rights: The Muslim Rohingya as a Case Study

Human rights violations continue today at an alarming pace. To appreciate the severity of these violations, and the seemingly ineffectual response by the international legal regime, one need look no further than the persecuted Muslim Rohingya. The Rohingya people, an ethnic and religious minority in Myanmar, have been the subject of state-sponsored violence for years, a trend that continues despite Myanmar\u27s recent moves towards democracy. Two of Myanmar\u27s neighbors, Thailand and Bangladesh, have contributed to the problem by violating the international legal principle of non-refoulement. This Comment argues that the International Court ofJustice can play a larger role in policing and remedying human rights violations, using the Muslim Rohingya as a case study. The Court\u27s jurisdictional requirements to hear a contentious case are stringent, and participation in an ICJ case generally requires the consent of the states involved. However, several current human rights treaties provide a way to get the plight of the Rohingya into the Court. Moreover, the Rohingya\u27s plight can also be the subject of an ICJ advisory opinion, which would be more difficult than a contentious case to enforce, but which can be brought before the ICJ with relative ease, and which can be transformed from soft law to hard law by other international actors

Dublin City University at the TRECVid 2008 BBC rushes summarisation task

We describe the video summarisation systems submitted by Dublin City University to the TRECVid 2008 BBC Rushes Summarisation task. We introduce a new approach to re- dundant video summarisation based on principal component analysis and linear discriminant analysis. The resulting low dimensional representation of each shot offers a simple way to compare and select representative shots of the original video. The final summary is constructed as a dynamic sto- ryboard. Both types of summaries were evaluated and the results are discussed

Mobile access to personal digital photograph archives

Handheld computing devices are becoming highly connected devices with high capacity storage. This has resulted in their being able to support storage of, and access to, personal photo archives. However the only means for mobile device users to browse such archives is typically a simple one-by-one scroll through image thumbnails in the order that they were taken, or by manually organising them based on folders. In this paper we describe a system for context-based browsing of personal digital photo archives. Photos are labeled with the GPS location and time they are taken and this is used to derive other context-based metadata such as weather conditions and daylight conditions. We present our prototype system for mobile digital photo retrieval, and an experimental evaluation illustrating the utility of location information for effective personal photo retrieval

My digital photos: where and when?

In recent years digital cameras have seen an enormous rise in popularity, leading to a huge increase in the quantity of digital photos being taken. This brings with it the challenge of organising these large collections. We preset work which organises personal digital photo collections based on date/time and GPS location, which we believe will become a key organisational methodology over the next few years as consumer digital cameras evolve to incorporate GPS and as cameras in mobile phones spread further. The accompanying video illustrates the results of our research into digital photo management tools which contains a series of screen and user interactions highlighting how a user utilises the tools we are developing to manage a personal archive of digital photos

Using text search for personal photo collections with the MediAssist system

The MediAssist system enables organisation and searching of personal digital photo collections based on contextual information, content-based analysis and semi-automatic annotation. One mode of user interaction uses automatically extracted features to create text surrogates for photos, which enables text search of photo collections without manual annotation. Our evaluation shows that this text search facility is effective for known-item search

A user-centered approach to rushes summarisation via highlight-detected keyframes

We present our keyframe-based summary approach for BBC Rushes video as part of the TRECVid Summarisation benchmark evaluation carried out in 2007. We outline our approach to summarisation that uses video processing for feature extraction and is informed by human factors considerations for summary presentation. Based on the performance of our generated summaries as reported by NIST, we subsequently undertook detailed failure analysis of our approach. The findings of this investigation as well as recommendations for alterations to our keyframe-based summary generation method, and the evaluation methodology for Rushes summaries in general, are detailed within this paper