Results 201 to 210 of about 22,111 (265)

Fast decision mechanism for ternary tree partitioning in VVC intra coding. [PDF]

PLoS One
Sun J, Zhu Z, Tu R, Xie Z.
europepmc   +1 more source

Hybrid wavelet transform, K-means singular value decomposition and Spatial memory guided cat swarm optimization technique for watermark embedding. [PDF]

Sci Rep
Sharma C, Dhillon A, Prashar D, Khan AA, Ali F, AlZubi AA.   +5 more
europepmc   +1 more source

Improved Perceptual Quality of Traffic Signs and Lights for the Teleoperation of Autonomous Vehicle Remote Driving via Multi-Category Region of Interest Video Compression. [PDF]

Entropy (Basel)
Dror I, Hadar O.
europepmc   +1 more source

Smart, automated junctional tourniquets leveraging AI-driven ultrasound guidance. [PDF]

Sci Rep
Hernandez Torres SI, Winter T, Mejia I, Bedolla C, Alexander B, Collier JP, Lopez MD, Snider EJ.   +7 more
europepmc   +1 more source

Extending real-time MRI of the oral cavity using simultaneous multislice and compressed sensing. [PDF]

Magn Reson Med
Watson I, Angus M, Zamboni E, Mitchell D, Sebald A, Kennerley AJ.   +5 more
europepmc   +1 more source

Deepfake video deception detection using visual attention-based method. [PDF]

Sci Rep
Lal K, Shiwani S, Gandhi GC.
europepmc   +1 more source

Region Based Image and Video Compression

, 1995
openaire   +1 more source

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Neural compression for hologram images and videos

Optics Letters, 2022
Holographic 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, Richard Webb, Lei Xiao, Changil Kim, Changwon Jang   +4 more
openaire   +2 more sources

Image and video compression

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
openaire   +1 more source

Compressive video sensors using multichannel imagers

Applied Optics, 2010
We explore the possibilities of obtaining compression in video through modified sampling strategies using multichannel imaging systems. The redundancies in video streams are exploited through compressive sampling schemes to achieve low power and low complexity video sensors.
Shankar, Mohan, Pitsianis, Nikos P, Brady, David J   +2 more
openaire   +2 more sources