TagBook: A Semantic Video Representation without Supervision for Event Detection

We consider the problem of event detection in video for scenarios where only few, or even zero examples are available for training. For this challenging setting, the prevailing solutions in the literature rely on a semantic video representation obtained from thousands of pre-trained concept detectors. Different from existing work, we propose a new semantic video representation that is based on freely available social tagged videos only, without the need for training any intermediate concept detectors. We introduce a simple algorithm that propagates tags from a video's nearest neighbors, similar in spirit to the ones used for image retrieval, but redesign it for video event detection by including video source set refinement and varying the video tag assignment. We call our approach TagBook and study its construction, descriptiveness and detection performance on the TRECVID 2013 and 2014 multimedia event detection datasets and the Columbia Consumer Video dataset. Despite its simple nature, the proposed TagBook video representation is remarkably effective for few-example and zero-example event detection, even outperforming very recent state-of-the-art alternatives building on supervised representations.Comment: accepted for publication as a regular paper in the IEEE Transactions on Multimedi

Supporting aspect-based video browsing - analysis of a user study

In this paper, we present a novel video search interface based on the concept of aspect browsing. The proposed strategy is to assist the user in exploratory video search by actively suggesting new query terms and video shots. Our approach has the potential to narrow the "Semantic Gap" issue by allowing users to explore the data collection. First, we describe a clustering technique to identify potential aspects of a search. Then, we use the results to propose suggestions to the user to help them in their search task. Finally, we analyse this approach by exploiting the log files and the feedbacks of a user study

Exploiting Fluencies: Educational Expropriation of Social Networking Site Consumer Training

The idea of the digital native was based on abstraction; when we look in detail at the digital activities of high-school and college students, we see deskilling and consumer training rather than information literacy or technical fluency. Yet that training is still training, and may be adaptable in such a way that it can become a literacy—in, for example, the way militaries have mobilised skill-sets produced through gaming. We too can and should mine the narrow and profit-driven consumer training that emerging adults have undergone for kinds of inquiry and critical engagement for which they may have inadvertently been given tools and training. In this article, we will analyse the structures of Facebook to see what sorts of consumer training it produces, and suggest avenues for the educational expropriation of that training. First, we take an inventory of categories of consumer training, analysing each and identifying exploitable elements within each. Following this, we suggest activities and assessment structures exapting these literacies and habits to educational ends. Many of these structures involve direct employment of Facebook in coursework, but others identify assignments, projects, and approaches which draw upon SNS consumer training but do not themselves employ Facebook

Smartphone picture organization: a hierarchical approach

We live in a society where the large majority of the population has a camera-equipped smartphone. In addition, hard drives and cloud storage are getting cheaper and cheaper, leading to a tremendous growth in stored personal photos. Unlike photo collections captured by a digital camera, which typically are pre-processed by the user who organizes them into event-related folders, smartphone pictures are automatically stored in the cloud. As a consequence, photo collections captured by a smartphone are highly unstructured and because smartphones are ubiquitous, they present a larger variability compared to pictures captured by a digital camera. To solve the need of organizing large smartphone photo collections automatically, we propose here a new methodology for hierarchical photo organization into topics and topic-related categories. Our approach successfully estimates latent topics in the pictures by applying probabilistic Latent Semantic Analysis, and automatically assigns a name to each topic by relying on a lexical database. Topic-related categories are then estimated by using a set of topic-specific Convolutional Neuronal Networks. To validate our approach, we ensemble and make public a large dataset of more than 8,000 smartphone pictures from 40 persons. Experimental results demonstrate major user satisfaction with respect to state of the art solutions in terms of organization.Peer ReviewedPreprin

Researching mobile learning: overview, September 2006 to September 2008

This is the summary of the report, which brought together the findings from the third phase of a two-year development and research project that focused on the impact of one-to-one personal ownership of mobile devices. Two areas emerged from the analysis as important in relation to impact, namely students' use of and attitudes to their mobile devices and the professional development of teachers

Creative Teaching for Tomorrow: Fostering a Creative State of Mind Deal

`Creative Teaching for Tomorrow: Fostering a Creative State of Mind' is a study by distinguished authors Teresa Cremin, Jonathan Barnes and Stephen Scoffham. Based on a research project undertaken during 2004-2005 by Canterbury Christ Church University and Future Creative, the book explores the characteristics of creative teachers, identifying the behaviours and environments that support the development of these attributes. `Creative Teaching for Tomorrow' involves a survey of 20 schools, revealing evidence that creative thinking benefits students economically, socially and academically. Real-life interviews with teachers and students, complete with questions and answers, attest that creative approaches do help to increase learners' personal curiosity and desire to learn, to realise the importance of risk-taking and to become more engaged with the learning experience as well as the world around them

Dancing salsa with machines - filling the gap of dancing learning solutions

Dancing is an activity that positively enhances the mood of people that consists of feeling the music and expressing it in rhythmic movements with the body. Learning how to dance can be challenging because it requires proper coordination and understanding of rhythm and beat. In this paper, we present the first implementation of the Dancing Coach (DC), a generic system designed to support the practice of dancing steps, which in its current state supports the practice of basic salsa dancing steps. However, the DC has been designed to allow the addition of more dance styles. We also present the first user evaluation of the DC, which consists of user tests with 25 participants. Results from the user test show that participants stated they had learned the basic salsa dancing steps, to move to the beat and body coordination in a fun way. Results also point out some direction on how to improve the future versions of the DC. (DIPF/Orig.