Advances in scalable video coding
JR Ohm - Proceedings of the IEEE, 2005 - ieeexplore.ieee.org
Scalable video coding is attractive due to the capability of reconstructing lower resolution or
lower quality signals from partial bit streams. This allows for simple solutions in adaptation to …
lower quality signals from partial bit streams. This allows for simple solutions in adaptation to …
Lossy-to-lossless compression of medical volumetric data using three-dimensional integer wavelet transforms
We study lossy-to-lossless compression of medical volumetric data using three-dimensional
(3-D) integer wavelet transforms. To achieve good lossy coding performance, it is important …
(3-D) integer wavelet transforms. To achieve good lossy coding performance, it is important …
Three-dimensional embedded subband coding with optimized truncation (3-D ESCOT)
This paper presents an efficient video coding algorithm: Three-dimensional embedded
subband coding with optimized truncation (3-D ESCOT), in which coefficients in different …
subband coding with optimized truncation (3-D ESCOT), in which coefficients in different …
Interframe wavelet coding—Motion picture representation for universal scalability
JR Ohm, M Van Der Schaar, JW Woods - Signal Processing: Image …, 2004 - Elsevier
Scalability at the bitstream level is an important feature for encoded video that is to be
transmitted and stored with a variety of target rates or to be replayed on devices with …
transmitted and stored with a variety of target rates or to be replayed on devices with …
Light field compression using disparity-compensated lifting and shape adaptation
CL Chang, X Zhu, P Ramanathan… - IEEE transactions on …, 2006 - ieeexplore.ieee.org
We propose disparity-compensated lifting for wavelet compression of light fields. With this
approach, we obtain the benefits of wavelet coding, such as scalability in all dimensions, as …
approach, we obtain the benefits of wavelet coding, such as scalability in all dimensions, as …
FuzzyAct: A fuzzy-based framework for temporal activity recognition in IoT applications using RNN and 3D-DWT
Despite massive research in deep learning, the human activity recognition (HAR) domain
still suffers from key challenges in terms of accurate classification and detection. The core …
still suffers from key challenges in terms of accurate classification and detection. The core …
Reconstruction and recognition of tensor-based objects with concurrent subspaces analysis
Principal Components Analysis (PCA) has traditionally been utilized with data expressed in
the form of 1-D vectors, but there exists much data such as gray-level images, video …
the form of 1-D vectors, but there exists much data such as gray-level images, video …
An efficient architecture for 3-D discrete wavelet transform
A Das, A Hazra, S Banerjee - … on circuits and systems for video …, 2009 - ieeexplore.ieee.org
This paper presents an architecture of the lifting-based running 3-D discrete wavelet
transform (DWT), which is a powerful image and video compression algorithm. The …
transform (DWT), which is a powerful image and video compression algorithm. The …
Video coding with motion-compensated lifted wavelet transforms
This article explores the efficiency of motion-compensated three-dimensional transform
coding, a compression scheme that employs a motion-compensated transform for a group of …
coding, a compression scheme that employs a motion-compensated transform for a group of …
Efficient video super-resolution via hierarchical temporal residual networks
Super-Resolving (SR) video is more challenging compared with image super-resolution
because of the demanding computation time. To enlarge a low-resolution video, the …
because of the demanding computation time. To enlarge a low-resolution video, the …