Dublin City University at TRECVID 2008

In this paper we describe our system and experiments performed for both the automatic search task and the event detection task in TRECVid 2008. For the automatic search task for 2008 we submitted 3 runs utilizing only visual retrieval experts, continuing our previous work in examining techniques for query-time weight generation for data-fusion and determining what we can get from global visual only experts. For the event detection task we submitted results for 5 required events (ElevatorNoEntry, OpposingFlow, PeopleMeet, Embrace and PersonRuns) and 1 optional event (DoorOpenClose)

Industry Self-regulation of alcohol marketing: A systematic review of content and exposure research

BACKGROUND AND AIMS: With governments increasingly relying on the alcohol industry's self-regulated marketing codes to restrict alcohol marketing activity, there is a need to summarize the findings of research relevant to alcohol marketing controls. This paper provides a systematic review of studies investigating the content of, and exposure to, alcohol marketing in relation to self-regulated guidelines. METHODS: Peer-reviewed articles were identified through four literature search engines: SCOPUS, Web of Science, PubMed, and PsychINFO. Non-peer reviewed reports produced by public health agencies, alcohol research centers, non-governmental organizations, and government research centers were also identified. 96 publications met the inclusion criteria. RESULTS: Of the 19 studies evaluating a specific marketing code and 25 content analysis studies reviewed, all detected content that could be considered potentially harmful to children and adolescents, including themes that strongly appeal to young men. Of the 57 studies of alcohol advertising exposure, high levels of youth exposure and high awareness of alcohol advertising were found for television, radio, print, digital, and outdoor ads. Youth exposure to alcohol advertising has increased over time, even as greater compliance with exposure thresholds has been documented. CONCLUSIONS: Violations of the content guidelines within self-regulated alcohol marketing codes are highly prevalent in certain media. Exposure to alcohol marketing, particularly among youth, is also prevalent. Taken together, the findings suggest that the current self-regulatory systems that govern alcohol marketing practices are not meeting their intended goal of protecting vulnerable populations

A content-based retrieval system for UAV-like video and associated metadata

In this paper we provide an overview of a content-based retrieval (CBR) system that has been specifically designed for handling UAV video and associated meta-data. Our emphasis in designing this system is on managing large quantities of such information and providing intuitive and efficient access mechanisms to this content, rather than on analysis of the video content. The retrieval unit in our system is termed a "trip". At capture time, each trip consists of an MPEG-1 video stream and a set of time stamped GPS locations. An analysis process automatically selects and associates GPS locations with the video timeline. The indexed trip is then stored in a shared trip repository. The repository forms the backend of a MPEG-211 compliant Web 2.0 application for subsequent querying, browsing, annotation and video playback. The system interface allows users to search/browse across the entire archive of trips and, depending on their access rights, to annotate other users' trips with additional information. Interaction with the CBR system is via a novel interactive map-based interface. This interface supports content access by time, date, region of interest on the map, previously annotated specific locations of interest and combinations of these. To develop such a system and investigate its practical usefulness in real world scenarios, clearly a significant amount of appropriate data is required. In the absence of a large volume of UAV data with which to work, we have simulated UAV-like data using GPS tagged video content captured from moving vehicles