Extending Document Exploration with Image Retrieval: Concept and First Results

Simple item page
dc.contributor.authorShao, Linen_US
dc.contributor.authorGlatz, Mathiasen_US
dc.contributor.authorGergely, Ericen_US
dc.contributor.authorMüller, Markusen_US
dc.contributor.authorMunter, Denisen_US
dc.contributor.authorPapst, Stefanen_US
dc.contributor.authorSchreck, Tobiasen_US
dc.contributor.editorAnna Puig and Renata Raidouen_US
dc.date.accessioned2018-06-02T17:55:40Z
dc.date.available2018-06-02T17:55:40Z
dc.date.issued2018
dc.description.abstractInformation retrieval provides to date effective methods to search for documents relevant to user queries, and to support exploration of clusters of similar documents. Typically, the retrieval relies on text-based queries and similarity functions. However, in many cases also visual content is important in documents, for example, in the visualization field. There, researchers may want to search for papers based on similar example visualizations, which is difficult by relying on keyword search alone. We present a concept to automatically label visualization types in research papers and search for similar images, relying on state of the art image descriptors. We created a prototype that allows to search for papers showing images similar to a query image. Preliminary results of applying it on a corpus of VAST papers indicate the chosen descriptors can retrieve papers with similar images. Our approach for image-based search can complement text-based search and in perspective, support document corpus exploration based on clustering contained images. In future work, we want to explore if image-based search can also support the formation of taxonomies of a corpus or research papers, based on image similarity.en_US
dc.description.sectionheadersPosters
dc.description.seriesinformationEuroVis 2018 - Posters
dc.identifier.doi10.2312/eurp.20181116
dc.identifier.isbn978-3-03868-065-9
dc.identifier.pages5-7
dc.identifier.urihttps://doi.org/10.2312/eurp.20181116
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurp20181116
dc.publisherThe Eurographics Associationen_US
dc.subjectInformation systems
dc.subjectImage search
dc.subjectComputing methodologies
dc.subjectVisual content
dc.subjectbased indexing and retrieval
dc.titleExtending Document Exploration with Image Retrieval: Concept and First Resultsen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
005-007.pdf
Size:
783.08 KB
Format:
Adobe Portable Document Format
Download
Collections
EuroVisPosters2018