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Case report of a giant hypervascular mediastinal mass with airway and SVC compromise managed without preoperative biopsy. [PDF]
Front OncolJiang R +5 more
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Exploring Learned Surveillance Video Coding with Long-Term Reference and Adaptive Long-Short Modeling. [PDF]
Sensors (Basel)Wu Y, Hu L, Song X.
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Cross-sectional study of mechanism of arterial pulsation amplitude modulation under ultrasound probe compression: Similarities and differences compared with the oscillometric blood pressure measurement principle. [PDF]
Medicine (Baltimore)Ito T +6 more
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Neural networks for image and video compression: A review
European Journal of Operational Research, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Christopher Cramer
exaly +4 more sources
Neural compression for hologram images and videos
Optics Letters, 2022Holographic near-eye displays can deliver high-quality three-dimensional (3D) imagery with focus cues. However, the content resolution required to simultaneously support a wide field of view and a sufficiently large eyebox is enormous. The consequent data storage and streaming overheads pose a big challenge for practical virtual and augmented reality ...
Liang Shi +4 more
openaire +2 more sources
IMAGE AND VIDEO COMPRESSION: A REVIEW
International Journal of High Speed Electronics and Systems, 1997The area of image and video compression has made tremendous progress over the last several decades. The successes in image compression are due to advances and better understanding of waveform coding methods which take advantage of the signal statistics, perceptual methods which take advantage of psychovisual properties of the human visual system (HVS)
Christine I. Podilchuk +1 more
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IEEE Potentials, 1998
The authors discuss the underlying principles of image and video compression. The network model they use for image compression is the random neural network (RNN). This pulsed network model provides a somewhat more accurate representation of what occurs in "real" neurons. Signals in the form of pulse trains travel between neurons.
C. Cramer, E. Gelenbe, P. Gelenbe
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The authors discuss the underlying principles of image and video compression. The network model they use for image compression is the random neural network (RNN). This pulsed network model provides a somewhat more accurate representation of what occurs in "real" neurons. Signals in the form of pulse trains travel between neurons.
C. Cramer, E. Gelenbe, P. Gelenbe
openaire +1 more source
Multi-Plane Image Video Compression
2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP), 2020Multiplane Images (MPI) is a new approach for storing volumetric content. MPI represents a 3D scene within a view frustum with typically 32 planes of texture and transparency information per camera. MPI literature to date has been focused on still images but applying MPI to video will require substantial compression in order to be viable for real world
Scott Janus +5 more
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CMOS image sensors with video compression
Proceedings of 1998 Asia and South Pacific Design Automation Conference, 2002This paper describes CMOS image sensors integrating video compression circuits. The on-sensor compression is particularly useful for the low-power design of moving picture compression hardware, which is demanded especially in the mobile computing and telephony.
S. Kawahito +2 more
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