Journal
IEEE TRANSACTIONS ON MULTIMEDIA
Volume 22, Issue 9, Pages 2262-2277Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TMM.2017.2757759
Keywords
Three-dimensional displays; Image coding; Data visualization; Rendering (computer graphics); Encoding; Discrete cosine transforms; Compression; saliency; volume visualization; wavelets; discrete cosine transform
Categories
Funding
- National Science Foundation [IIS0916235, CNS0959979, IIP1069147, CNS1302246, NRT1633299, CNS1650499]
- Center of Excellence in Wireless and Information Technology at Stony Brook University
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We introduce a transfer-function-guided three-dimensional (3-D) block-based saliency-aware compression scheme for volumetric data that is both content and spatially scalable. Salient 3-D volumetric blocks are identified and weighted with the help of a transfer function which is used to render the data. We describe our method in the form of a framework for processing, progressive transmission, and visualization of volumetric data on a target device, such as a mobile device with limited computational resources. In particular, we address the transmission bottleneck incurred when transferring 3-D volumetric data. Identified salient regions are progressively transmitted to the target device. The received data are rendered progressively in the respective order with a predefined or user-defined transfer function. Our method is developed with medical applications in mind, where preservation of all information is essential for clinical diagnosis. Because our method is integrated into a resolution scalable coding scheme with an integer wavelet transform of the image, it allows the rendering of each significant region at a different resolution up to fully lossless reconstruction. We perform a thorough qualitative and quantitative evaluation of the saliency detection method and the resulting saliency-aware compression schemes. Our results show reduced error in representation of the volumetric data with our method.
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