Results 71 to 80 of about 5,090 (204)
A framework for the analysis and optimization of encoding latency for multiview video [PDF]
We present a novel framework for the analysis and optimization of encoding latency for multiview video. Firstly, we characterize the elements that have an influence in the encoding latency performance: (i) the multiview prediction structure and (ii) the ...
Cabrera Quesada, Julian +4 more
core +2 more sources
Repairing gaps in ecological time series
Abstract Missing values are ubiquitous in ecological time series. Methods like linear interpolation, k‐nearest neighbour (kNN) imputation or regression‐based imputation are commonly used to repair these gaps, but may be unsuitable when the data are infrequently sampled or have nonlinear dynamics.
Delia Carpenter +4 more
wiley +1 more source
A Machine Vision Perspective on Droplet‐Based Microfluidics
A machine vision approach using Deformable detection transformer is developed for accurate identification, sorting, and analysis of microfluidic droplets as well as encapsulated cells. Possessing transfer learning functionality, the established online software MDIA can serve as a powerful in situ real‐time tool for monitoring, classifying, and ...
Ji‐Xiang Wang +8 more
wiley +1 more source
Joint Denoising / Compression of Image Contours via Shape Prior and Context Tree
With the advent of depth sensing technologies, the extraction of object contours in images---a common and important pre-processing step for later higher-level computer vision tasks like object detection and human action recognition---has become easier ...
Cheung, Gene +2 more
core +1 more source
Dependent bit allocation in multiview video coding [PDF]
We consider the bit allocation problem in multiview video coding (MVC). A dependent coding technique using trellis expansion and the Viterbi algorithm (VA) is proposed, which takes into account dependencies across time and views. We note that, typically, optimal quantizer choices have the following properties: i) quantization choices tend to be similar
null Jae Hoon Kim, J. Garcia, A. Ortega
openaire +1 more source
Abstract The current mainstream approaches for plant organ counting are based on convolutional neural networks (CNNs), which have a solid local feature extraction capability. However, CNNs inherently have difficulties for robust global feature extraction due to limited receptive fields.
Chao Qi, Kunjie Chen, Junfeng Gao
wiley +1 more source
Semi‐Paired Semi‐Supervised Deep Hashing for cross‐view retrieval
In this study, a Semi‐Paired Semi‐Supervised Deep Hashing (SPSDH) is proposed. SPSDH is a novel end‐to‐end deep neural network model with high‐order affinity. A non‐local higher‐order affinity measure that better considers the multimodal neighbourhood structure. And a common representation to associate different modalities is introduced, which combined
Yi Wang +3 more
wiley +1 more source
Multiview video coding for 3D telepresence [PDF]
In this thesis, we develope several novel algorithms and two complete encoders for multiview video coding (MVC). The major contributions can be summarized in three aspects. In particular, we first propose an edge-preserving regularization scheme to calculate either 1D disparity fields or 2D motion fields.
openaire +2 more sources
Robust and Flexible Omnidirectional Depth Estimation With Multiple 360‐Degree Cameras
This paper implement two algorithms that leverage geometry constraint and reduntant information of multiple omnidirectional cameras to achieve robust and flexible multi‐view omnidirectional depth estimation. A synthetic 360‐degree dataset of outdoor road scenes is presented, which takes soiled camera lenses and glare into consideration.
Ming Li +5 more
wiley +1 more source
Multimodal Data Fusion Framework for Early Prediction of Autism Spectrum Disorder
Autism spectrum disorder (ASD) is a condition that impacts a person’s emotional, cognitive, social, and physical well‐being. Symptoms include challenges in communicating, struggles with social interactions, fixation, and repetitive actions. It is crucial to detect ASD in young children to minimize the impact of the disorder through various therapies ...
Mohemmed Sha +3 more
wiley +1 more source

