244,343 research outputs found

    Visual Information Retrieval in Digital Libraries

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    The emergence of information highways and multimedia computing has resulted in redefining the concept of libraries. It is widely believed that in the next few years, a significant portion of information in libraries will be in the form of multimedia electronic documents. Many approaches are being proposed for storing, retrieving, assimilating, harvesting, and prospecting information from these multimedia documents. Digital libraries are expected to allow users to access information independent of the locations and types of data sources and will provide a unified picture of information. In this paper, we discuss requirements of these emerging information systems and present query methods and data models for these systems. Finally, we briefly present a few examples of approaches that provide a preview of how things will be done in the digital libraries in the near future.published or submitted for publicatio

    Childrenā€™s information retrieval: beyond examining search strategies and interfaces

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    The study of childrenā€™s information retrieval is still for the greater part untouched territory. Meanwhile, children can become lost in the digital information world, because they are confronted with search interfaces, both designed by and for adults. Most current research on childrenā€™s information retrieval focuses on examining childrenā€™s search performance on existing search interfaces to determine what kind of interfaces are suitable for childrenā€™s search behaviour. However, to discover the true nature of childrenā€™s search behaviour, we state that research has to go beyond examining search strategies used with existing search interfaces by examining childrenā€™s cognitive processes during information-seeking. A paradigm of childrenā€™s information retrieval should provide an overview of all the components beyond search interfaces and search strategies that are part of childrenā€™s information retrieval process. Better understanding of the nature of childrenā€™s search behaviour can help adults design interfaces and information retrieval systems that both support childrenā€™s natural search strategies and help them find their way in the digital information world

    The TREC2001 video track: information retrieval on digital video information

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    The development of techniques to support content-based access to archives of digital video information has recently started to receive much attention from the research community. During 2001, the annual TREC activity, which has been benchmarking the performance of information retrieval techniques on a range of media for 10 years, included a ā€trackā€œ or activity which allowed investigation into approaches to support searching through a video library. This paper is not intended to provide a comprehensive picture of the different approaches taken by the TREC2001 video track participants but instead we give an overview of the TREC video search task and a thumbnail sketch of the approaches taken by different groups. The reason for writing this paper is to highlight the message from the TREC video track that there are now a variety of approaches available for searching and browsing through digital video archives, that these approaches do work, are scalable to larger archives and can yield useful retrieval performance for users. This has important implications in making digital libraries of video information attainable

    The information retrieval challenge of human digital memories

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    Today people are storing increasing amounts of personal information in digital format. While storage of such information is becoming straight forward, retrieval from the vast personal archives that this is creating poses significant challenges. Existing retrieval techniques are good at retrieving from non-personal spaces, such as the World Wide Web. However they are not sufficient for retrieval of items from these new unstructured spaces which contain items that are personal to the individual, and of which the user has personal memories and with which has had previous interaction. We believe that there are new and exciting possibilities for retrieval from personal archives. Memory cues act as triggers for individuals in the remembering process, a better understanding of memory cues will enable us to design new and effective retrieval algorithms and systems for personal archives. Context data, such as time and location, is already proving to play a key part in this special retrieval domain, for example for searching personal photo archives, we believe there are many other rich sources of context that can be exploited for retrieval from personal archives

    Applying contextual memory cues for retrieval from personal information archives

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    Advances in digital technologies for information capture combined with massive increases in the capacity of digital storage media mean that it is now possible to capture and store oneā€™s entire life experiences in a Human Digital Memory (HDM). Information can be captured from a myriad of personal information devices including desktop computers, PDAs, digital cameras, video and audio recorders, and various sensors, including GPS, Bluetooth, and biometric devices. These diverse collections of personal information are potentially very valuable, but will only be so if significant information can be reliably retrieved from them. HDMs differ from traditional document collections for which existing search technologies have been developed since users may have poor recollection of contents or even the existence of stored items. Additionally HDM data is highly heterogeneous and unstructured, making it difficult to form search queries. We believe that a Personal Information Management (PIM) system which exploits the context of information capture, and potentially of earlier refinding, can be valuable in effective retrieval from an HDM. We report an investigation into how individuals perform searches of their personal information, and use the outcome of this study to develop an information retrieval (IR) framework for HDM search incorporating the context of document capture. We then describe the creation of a pilot HDM test collection, and initial experiments in retrieval from this collection. Results from these experiments indicate that use of context data can be significantly beneficial to increasing the efficient retrieval of partially recalled items from an HDM

    Context and linking in retrieval from personal digital archives

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    Advances in digital capture and storage technologies mean that it is now possible to capture and store oneā€™s entire life experiences in personal digital archives. These vast personal archives (or Human Digital Memories (HDMs)) pose new challenges and opportunities for the research community, not the least of which is developing effective means of retrieval from HDMs. Personal archive retrieval research is still in its infancy and there is much scope for novel research. My PhD proposes to develop effective HDM retrieval algorithms by combining rich sources of context associated with items, such as location and people present data, with information obtained by linking HDM items in novel ways

    Large scale evaluations of multimedia information retrieval: the TRECVid experience

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    Information Retrieval is a supporting technique which underpins a broad range of content-based applications including retrieval, filtering, summarisation, browsing, classification, clustering, automatic linking, and others. Multimedia information retrieval (MMIR) represents those applications when applied to multimedia information such as image, video, music, etc. In this presentation and extended abstract we are primarily concerned with MMIR as applied to information in digital video format. We begin with a brief overview of large scale evaluations of IR tasks in areas such as text, image and music, just to illustrate that this phenomenon is not just restricted to MMIR on video. The main contribution, however, is a set of pointers and a summarisation of the work done as part of TRECVid, the annual benchmarking exercise for video retrieval tasks

    Library As Place: Being Human in a Digital World

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    Despite the increasingly digital nature of information retrieval, both users and computers continue to occupy physical space, and the library ā€“ as place ā€“ offers an essential location for inspiration. In an age when one might assume that the digital negates the physical, a finite place can root the individual within space regarding both composition and information retrieval. In this seeking for the essentially human element of the physical book within space, we may also discover a need for the library as place
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