MTV-Player: Interactive Spatio-Temporal Exploration of Compressed Large-Scale Time-Varying Rectilinar Scalar Volumes

dc.contributor.authorDíaz, Joseen_US
dc.contributor.authorMarton, Fabioen_US
dc.contributor.authorGobbetti, Enricoen_US
dc.contributor.editorAgus, Marco and Corsini, Massimiliano and Pintus, Ruggeroen_US
dc.date.accessioned2019-11-20T08:12:33Z
dc.date.available2019-11-20T08:12:33Z
dc.date.issued2019
dc.description.abstractWe present an approach for supporting fully interactive exploration of massive time-varying rectilinear scalar volumes on commodity platforms. We decompose each frame into a forest of bricked octrees. Each brick is further subdivided into smaller blocks, which are compactly approximated by quantized variable-length sparse linear combinations of prototype blocks stored in a data-dependent dictionary learned from the input sequence. This variable bit-rate compact representation, obtained through a tolerance-driven learning and approximation process, is stored in a GPU-friendly format that supports direct adaptive streaming to the GPU with spatial and temporal random access. An adaptive compression-domain renderer closely coordinates off-line data selection, streaming, decompression, and rendering. The resulting system provides total control over the spatial and temporal dimensions of the data, supporting the same exploration metaphor as traditional video players. Since we employ a highly compressed representation, the bandwidth provided by current commodity platforms proves sufficient to fully stream and render dynamic representations without relying on partial updates, thus avoiding any unwanted dynamic effects introduced by current incremental loading approaches. Moreover, our variable-rate encoding based on sparse representations provides high-quality approximations, while offering real-time decoding and rendering performance. The quality and performance of our approach is demonstrated on massive time-varying datasets at the terascale, which are nonlinearly explored at interactive rates on a commodity graphics PC.en_US
dc.description.sectionheadersFull Papers
dc.description.seriesinformationSmart Tools and Apps for Graphics - Eurographics Italian Chapter Conference
dc.identifier.doi10.2312/stag.20191358
dc.identifier.isbn978-3-03868-100-7
dc.identifier.issn2617-4855
dc.identifier.pages1-10
dc.identifier.urihttps://doi.org/10.2312/stag.20191358
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/stag20191358
dc.publisherThe Eurographics Associationen_US
dc.subjectComputer Graphics [I.3.3]
dc.subjectPicture/Image Generation
dc.subjectComputer Graphics [I.3.7]
dc.subjectThree
dc.subjectdimensional graphics and realism
dc.subjectCoding and Information Theory [E.4]
dc.subjectData compaction and compression
dc.subjectCompression (Coding) [I.4.2]
dc.subjectApproximate methods
dc.titleMTV-Player: Interactive Spatio-Temporal Exploration of Compressed Large-Scale Time-Varying Rectilinar Scalar Volumesen_US
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