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Paper detail

Visual Information Retrieval in Endoscopic Video Archives

In endoscopic procedures, surgeons work with live video streams from the inside of their subjects. A main source for documentation of procedures are still frames from the video, identified and taken during the surgery. However, with growing demands and technical means, the streams are saved to storage servers and the surgeons need to retrieve parts of the videos on demand. In this submission we present a demo application allowing for video retrieval based on visual features and late fusion, which allows surgeons to re-find shots taken during the procedure.

preprint2015arXivOpen access
Jennifer Roldan-CarlosMathias LuxXavier Giró-i-NietoPia MuñozNektarios Anagnostopoulos
Information RetrievalComputer VisionMultimedia
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Open access5 authors3 topics
Imported metadata coverageMissing code, dataset, citation and institution fields are tracked without dominating the paper.Details
Citations: 0Reviews: 0Saves: 0Code: not linkedDataset: not linkedInstitutions: 0

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Jennifer Roldan-CarlosMathias LuxXavier Giró-i-NietoPia MuñozNektarios Anagnostopoulos

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