By Michael Christel
Advancements in community bandwidth besides dramatic drops in electronic garage and processing bills have ended in the explosive development of multimedia (combinations of textual content, picture, audio, and video) assets on the net and in electronic repositories. a set of machine applied sciences offering speech, picture, and usual language figuring out can instantly derive descriptive metadata for such assets. problems for finish clients happen, even if, with the great quantity and ranging caliber of computerized metadata for multimedia details structures. This lecture surveys automated metadata construction tools for facing multimedia details assets, utilizing broadcast information, documentaries, and oral histories as examples. recommendations for bettering the software of such metadata are mentioned, together with computationally in depth methods, leveraging multimodal redundancy, folding in context, and leaving precision-recall tradeoffs lower than consumer keep an eye on. Interfaces development from instantly generated metadata are awarded, illustrating using video surrogates in multimedia info platforms. conventional info retrieval review is mentioned throughout the annual nationwide Institute of criteria and know-how TRECVID discussion board, with experiments on exploratory seek extending the dialogue past fact-finding to broader, long term seek actions of studying, research, synthesis, and discovery.
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Extra resources for Automated metadata in multimedia information systems: creation, refinement, use in surrogates, and evaluation
One of the early Informedia user studies looked at the difficulty of representing documentary footage with a single thumbnail image. , what is being searched for, can identify which thumbnail will work best. This query-based thumbnail selection results in a more satisfying interface to the end user offering greater utility . The query-based thumbnail selection process is illustrated here using TRECVID 2006 news data. Suppose the information need is helicopters. 2 seconds in length. 4. The two red notches in the fourth and fifth thumbnails on the top row show the times where “helicopter” matched (against VOCR text and/or spoken narrative).
When there is a multiplicity of shots, storyboards can be very effective. As for ecological validity, in practice Informedia users were struggling more with the task of finding the right shot from a collection of videos, rather than just finding the right shot within a single video, once the corpus grew from tens to hundreds to thousands of hours. 9. Such a multiple document storyboard would directly address the actual user’s task of finding the right shot from a collection of video, but the interface characteristics change.
Video. Without user context, the automated process has no guidance on what to extract, but through emphasis on particular named entity associations, these skims can be produced. 6 also hints at the multimedia collage possibilities from multiple views: the Shot Thumbnails storyboard when filtered to outdoor building shots shows a visual surrogate of the scenery within the selected six video documents. 6 is a form of semantic compression, regulating the contents of the multimedia presentation based on personal interests.
Automated metadata in multimedia information systems: creation, refinement, use in surrogates, and evaluation by Michael Christel