759 research outputs found

    Search and hyperlinking task at MediaEval 2012

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    The Search and Hyperlinking Task was one of the Brave New Tasks at MediaEval 2012. The Task consisted of two subtasks which focused on search and linking in retrieval from a collection of semi-professional video content. These tasks followed up on research carried out within the MediaEval 2011 Rich Speech Retrieval (RSR) Task and the VideoCLEF 2009 Linking Task

    DCU search runs at MediaEval 2012: search and hyperlinking task

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    We describe the runs for our participation in the Search sub-task of the Search and Hyperlinking Task at MediaEval 2012. Our runs are designed to form a retrieval baseline by using time-based segmentation of audio transcripts incorporating pause information and a sliding window to define the retrieval segments boundaries with a standard language modelling information retrieval strategy. Using this baseline system runs based on transcripts provided by LIUM were better for all evaluation metrics, than those using transcripts provided by LIMSI

    Blip10000: a social video dataset containing SPUG content for tagging and retrieval

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    The increasing amount of digital multimedia content available is inspiring potential new types of user interaction with video data. Users want to easilyfind the content by searching and browsing. For this reason, techniques are needed that allow automatic categorisation, searching the content and linking to related information. In this work, we present a dataset that contains comprehensive semi-professional user generated (SPUG) content, including audiovisual content, user-contributed metadata, automatic speech recognition transcripts, automatic shot boundary les, and social information for multiple `social levels'. We describe the principal characteristics of this dataset and present results that have been achieved on different tasks

    UTwente does Brave New Tasks for MediaEval 2012: Searching and Hyperlinking

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    In this paper we report our experiments and results for the brave new searching and hyperlinking tasks for the MediaEval Benchmark Initiative 2012. The searching task involves nding target video segments based on a short natural language sentence query and the hyperlinking task involves nding links from the target video segments to other related video segments in the collection using a set of anchor segments in the videos that correspond to the textual search queries. To nd the starting points in the video, we only used speech transcripts and metadata as evidence source, however, other visual features (for e.g., faces, shots and keyframes) might also aect results for a query. We indexed speech transcripts and metadata, furthermore, the speech transcripts were indexed at speech segment level and at sentence level to improve the likelihood of nding jump-in-points. For linking video segments, we computed k-nearest neighbours of video segments using euclidean distance

    SAVA at MediaEval 2015: search and anchoring in video archives

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    The Search and Anchoring in Video Archives (SAVA) task at MediaEval 2015 consists of two sub-tasks: (i) search for multimedia content within a video archive using multimodal queries referring to information contained in the audio and visual streams/content, and (ii) automatic selection of video segments within a list of videos that can be used as anchors for further hyperlinking within the archive. The task used a collection of roughly 2700 hours of the BBC broadcast TV material for the former sub-task, and about 70 les taken from this collection for the latter sub-task. The search sub-task is based on an ad-hoc retrieval scenario, and is evaluated using a pooling procedure across participants submissions with crowdsourcing relevance assessment using Amazon Mechanical Turk (MTurk). The evaluation used metrics that are variations of MAP adjusted for this task. For the anchor selection sub-task overlapping regions of interest across participants submissions were assessed using MTurk workers, and mean reciprocal rank (MRR), precision and recall were calculated for evaluation

    The search and hyperlinking task at MediaEval 2013

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    The Search and Hyperlinking Task formed part of the MediaEval 2013 evaluation workshop. The Task consisted of two sub-tasks: (1) answering known-item queries from a collection of roughly 1200 hours of broadcast TV material, and (2) linking anchors within the known item to other parts of the video collection. We provide an overview of the task and the data sets used

    The search and hyperlinking task at MediaEval 2014

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    The Search and Hyperlinking Task at MediaEval 2014 is the third edition of this task. As in previous versions, it consisted of two sub-tasks: (i) answering search queries from a collection of roughly 2700 hours of BBC broadcast TV material, and (ii) linking anchor segments from within the videos to other target segments within the video collection. For MediaEval 2014, both sub-tasks were based on an ad-hoc retrieval scenario, and were evaluated using a pooling procedure across participants submissions with crowdsourcing relevance assessment using Amazon Mechanical Turk

    Content-based access to digital video: the Físchlár system and the TREC video track

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    This short paper presents an overview of the Físchlár system - an operational digital library of several hundred hours of video content at Dublin City University which is used by over 1,000 users daily, for a variety of applications. The paper describes how Físchlár operates and the services that it provides for users. Following that, the second part of the paper gives an outline of the TREC Video Retrieval track, a benchmarking exercise for information retrieval from video content currently in operation, summarising the operational details of how the benchmarking exercise is operating

    Indexing, browsing and searching of digital video

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    Video is a communications medium that normally brings together moving pictures with a synchronised audio track into a discrete piece or pieces of information. The size of a “piece ” of video can variously be referred to as a frame, a shot, a scene, a clip, a programme or an episode, and these are distinguished by their lengths and by their composition. We shall return to the definition of each of these in section 4 this chapter. In modern society, video is ver

    ABC online : a vortal for new opportunities?

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    This article undertakes an analysis of the ABCs website, ABC Online -- www. abc.net.au -- to explore how the public broadcaster uses the Internet to offer new services. While recognising that the ABC aims to enhance its traditional radio and television services using the Internet, the article establishes the extent to which ABC Online also provides innovative, original, and interactive new services, including those with no connection to traditional radio and television programs, as is often demanded by audiences. This article examines the capacity for ABC Online to develop a unique and distinctive role via the Internet through the potential to offer novel and interactive content and services.<br /
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