On Alpha-Expansion-Based Graph-Cut Optimization for Decoder-Side Depth Estimation
Applied SciencesIn order to achieve high realism an acceptable level of user experience in immersive videos, it is crucial to provide both the best possible quality of depth maps and minimize computational time.
Dawid Mieloch +2 more
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Recursive block splitting in feature-driven decoder-side depth estimation [PDF]
ETRI Journal, 2022 This paper presents a study on the use of encoder-derived features in decoder-side depth estimation. The scheme of multiview video encoding does not require the transmission of depth maps (which carry the geometry of a three-dimensional scene) as only a ...
Błażej Szydełko +4 more
doaj +2 more sources
Motion Compensation-based Low-Complexity Decoder Side Depth Estimation for MPEG Immersive Video
2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP), 2022 Decoder-Side Depth Estimation (DSDE) is a system firstly enabled in the novel MPEG Immersive Video (MIV) coding standard. In DSDE, only texture components are coded, while the depth is estimated at the decoder-side. This is motivated by previous work, which has shown high coding gain and pixel rate savings in DSDE. However, the computational complexity
Garus, Patrick +3 more
openaire +4 more sources
Overview and Efficiency of Decoder-Side Depth Estimation in MPEG Immersive Video
IEEE Transactions on Circuits and Systems for Video Technology, 2022 Dawid Mieloch +6 more
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Distributed Representation of Geometrically Correlated Images with Compressed Linear Measurements [PDF]
, 2010 This paper addresses the problem of distributed coding of images whose correlation is driven by the motion of objects or positioning of the vision sensors. It concentrates on the problem where images are encoded with compressed linear measurements.
Frossard, Pascal +1 more
core +3 more sources
Rate-Distortion Analysis of Multiview Coding in a DIBR Framework [PDF]
, 2012 Depth image based rendering techniques for multiview applications have been recently introduced for efficient view generation at arbitrary camera positions. Encoding rate control has thus to consider both texture and depth data.
Frossard, Pascal +3 more
core +2 more sources
Low-complexity blind maximum-likelihood detection for SIMO systems with general constellations [PDF]
, 2008 The demand for high data rate reliable communications poses great challenges to the next generation wireless systems in highly dynamic mobile environments.
Hassibi, Babak +2 more
core +1 more source
Exploiting color-depth image correlation to improve depth map compression [PDF]
, 2013 The multimedia signal processing community has recently identified the need to design depth map compression algorithms which preserve depth discontinuities in order to improve the rendering quality of virtual views for Free Viewpoint Video (FVV) services.
EUROCON 2013, Farrugia, Reuben A.
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Depth from Monocular Images using a Semi-Parallel Deep Neural Network (SPDNN) Hybrid Architecture [PDF]
, 2018 Deep neural networks are applied to a wide range of problems in recent years. In this work, Convolutional Neural Network (CNN) is applied to the problem of determining the depth from a single camera image (monocular depth).
Bazrafkan, S. +3 more
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A Novel Monocular Disparity Estimation Network with Domain Transformation and Ambiguity Learning
, 2019 Convolutional neural networks (CNN) have shown state-of-the-art results for low-level computer vision problems such as stereo and monocular disparity estimations, but still, have much room to further improve their performance in terms of accuracy ...
Bello, Juan Luis Gonzalez, Kim, Munchurl
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