27 Result(s)
within
English
Image Processing and Computer Vision
Ben Ep**er
Article
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Article
Open AccessLeakage-Aware Multiprocessor Scheduling
When peak performance is unnecessary, Dynamic Voltage Scaling (DVS) can be used to reduce the dynamic power consumption of embedded multiprocessors. In future technologies, however, static power consumption du...
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Open AccessInstruction-Level Fault Tolerance Configurability
Due to modern technology trends such as decreasing feature sizes and lower voltage levels, fault tolerance (FT) is becoming increasingly important in computing systems. Several schemes have been proposed to en...
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Open AccessParallel Scalability of Video Decoders
An important question is whether emerging and future applications exhibit sufficient parallelism, in particular thread-level parallelism, to exploit the large numbers of cores future chip multiprocessors (CMPs...
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Open AccessRelating conversational expressiveness to social presence and acceptance of an assistive social robot
Exploring the relationship between social presence, conversational expressiveness, and robot acceptance, we set up an experiment with a robot in an eldercare institution, comparing a more and less social condi...
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Open AccessColor image segmentation using multi-level thresholding approach and data fusion techniques: application in the breast cancer cells images
In this article, we present a new color image segmentation method, based on multilevel thresholding and data fusion techniques which aim at combining different data sources associated to the same color image i...
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Fast shape retrieval using a graph theoretic approach
A critical issue in shape retrieval systems is that when a user submits a query shape, some shapes in the database are returned relatively often, while some are returned only when submitting specific queries. ...
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Open AccessLBPV descriptors-based automatic ACR/BIRADS classification approach
Mammogram tissue density has been found to be a strong indicator for breast cancer risk. Efforts in computer vision of breast parenchymal pattern have been made in order to improve the diagnostic accuracy by r...
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Intrinsic spatial pyramid matching for deformable 3D shape retrieval
In this paper, we present an intrinsic spatial pyramid matching approach for 3D shape retrieval. Motivated by the fact that the second eigenfunction of Laplace–Beltrami operator not only can capture the global...
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Open AccessShape Retrieval of Non-rigid 3D Human Models
3D models of humans are commonly used within computer graphics and vision, and so the ability to distinguish between body shapes is an important shape retrieval problem. We extend our recent paper which provid...
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Open AccessSequential Monte Carlo filter based on multiple strategies for a scene specialization classifier
Transfer learning approaches have shown interesting results by using knowledge from source domains to learn a specialized classifier/detector for a target domain containing unlabeled data or only a few labeled...
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Open AccessErratum to: Sequential Monte Carlo filter based on multiple strategies for a scene specialization classifier
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Open AccessFrontiers in biomolecular mesh generation and molecular visualization systems
With the development of biomolecular modeling and simulation, especially implicit solvent modeling, higher requirements are set for the stability, efficiency and mesh quality of molecular mesh generation softw...
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Special Issue on Machine Vision
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Open AccessExploiting prunability for person re-identification
Recent years have witnessed a substantial increase in the deep learning (DL) architectures proposed for visual recognition tasks like person re-identification, where individuals must be recognized over multipl...
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Open AccessContinuous 3D Multi-Channel Sign Language Production via Progressive Transformers and Mixture Density Networks
Sign languages are multi-channel visual languages, where signers use a continuous 3D space to communicate. Sign language production (SLP), the automatic translation from spoken to sign languages, must embody b...
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Open AccessExploiting heterogeneity in operational neural networks by synaptic plasticity
The recently proposed network model, Operational Neural Networks (ONNs), can generalize the conventional Convolutional Neural Networks (CNNs) that are homogenous only with a linear neuron model. As a heterogen...
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Correction to: Innovative deep learning models for EEG-based vigilance detection
A correction to this paper has been published: https://doi.org/10.1007/s00521-021-06187-0
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Correction to: Noise-estimation-based anisotropic diffusion approach for retinal blood vessel segmentation
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Joint design and compression of convolutional neural networks as a Bi-level optimization problem
Over the last decade, deep neural networks have shown great success in the fields of machine learning and computer vision. Currently, the CNN (convolutional neural network) is one of the most successful networ...
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Deep learning-based video quality enhancement for the new versatile video coding
Multimedia IoT (M-IoT) is an emerging type of Internet of things (IoT) relaying multimedia data (images, videos, audio and speech, etc.). The rapid growth of M-IoT devices enables the creation of a massive vol...
