scholarly journals Efficient High-Dimensional Filtering for Image and Video Processing

2020 ◽  
Author(s):  
Eduardo S. L. Gastal ◽  
Manuel M. Oliveira
Keyword(s):  
Real World ◽  
Video Processing ◽  
Research Community ◽  
High Dimensional ◽  
Important Class ◽  
Fundamental Building Block ◽  
Image And Video Processing ◽  
Real World Applications ◽  
Novel Approaches ◽  
Linear Cost

High-dimensional filters are a fundamental building block for several applications, having recently received considerable attention from the research community. Unfortunately, naive implementations of such an important class of filters are too slow for many practical uses. This dissertation describes three novel approaches to efficiently perform high-dimensional filtering with linear cost in both the number of pixels and in the dimensionality of the space in which the filters operate. Our filters address the main limitations of previous techniques, in addition to providing the fastest performance (both on CPU and GPU) for a variety of real-world applications.

Private identity agreement for private set functionalities

2021 ◽  
pp. 1-29
Author(s):  
Ben Kreuter ◽  
Sarvar Patel ◽  
Ben Terner
Keyword(s):  
Real World ◽  
Research Community ◽  
Multiparty Computation ◽  
Privacy Requirements ◽  
Set Intersection ◽  
Real World Applications ◽  
Private Set Intersection ◽  
The Cost ◽  
Significant Attention ◽  
Private Identity

Private set intersection and related functionalities are among the most prominent real-world applications of secure multiparty computation. While such protocols have attracted significant attention from the research community, other functionalities are often required to support a PSI application in practice. For example, in order for two parties to run a PSI over the unique users contained in their databases, they might first invoke a support functionality to agree on the primary keys to represent their users. This paper studies a secure approach to agreeing on primary keys. We introduce and realize a functionality that computes a common set of identifiers based on incomplete information held by two parties, which we refer to as private identity agreement, and we prove the security of our protocol in the honest-but-curious model. We explain the subtleties in designing such a functionality that arise from privacy requirements when intending to compose securely with PSI protocols. We also argue that the cost of invoking this functionality can be amortized over a large number of PSI sessions, and that for applications that require many repeated PSI executions, this represents an improvement over a PSI protocol that directly uses incomplete or fuzzy matches.

A Comparative Study of Color Space Conversion on Homogeneous and Heterogeneous Multicore

2014 ◽  
Vol 519-520 ◽  
pp. 724-728
Author(s):  
Chen Chu ◽  
Jian Wang ◽  
Sen Ke Hou ◽  
Qi Lv ◽  
Guo Qiang Ma ◽  
...  
Keyword(s):  
Video Compression ◽  
Video Processing ◽  
Processing Time ◽  
Multicore Processors ◽  
Color Space ◽  
Data Parallelism ◽  
Heterogeneous Multicore ◽  
Color Space Conversion ◽  
Image And Video Processing ◽  
Novel Approaches

Color space conversion (CSC) is an important kernel in the area of image and video processing applications including video compression. As a matrix math, this operation consumes up to 40% of processing time of a highly optimized decoder. Therefore, techniques which efficiently implement this conversion are desired. Multicore processors provide an opportunity to increase the performance of CSC by exploiting data parallelism. In this paper, we present three novel approaches for efficient implementation of color space conversion suitable for homogeneous and heterogeneous multicore. We compare the performance of color space conversion on a variety of platforms including OpenMP running on homogeneous multicore CPUs, CUDA with NVIDIA GPUs and OpenCL running on both NVIDIA and ATI GPUs. Our experimental results show that the speedup of3×, 17×and15×can been obtained, respectively.

scholarly journals High Dimensional Bayesian Optimization using Dropout

2017 ◽  
Author(s):  
Cheng Li ◽  
Sunil Gupta ◽  
Santu Rana ◽  
Vu Nguyen ◽  
Svetha Venkatesh ◽  
...  
Keyword(s):  
Global Optimization ◽  
Real World ◽  
Alloy Composition ◽  
Drop Out ◽  
Bayesian Optimization ◽  
High Dimensional ◽  
High Dimensions ◽  
Cascade Classifiers ◽  
Real World Applications ◽  
Additive Form

Scaling Bayesian optimization to high dimensions is challenging task as the global optimization of high-dimensional acquisition function can be expensive and often infeasible. Existing methods depend either on limited “active” variables or the additive form of the objective function. We propose a new method for high-dimensional Bayesian optimization, that uses a drop-out strategy to optimize only a subset of variables at each iteration. We derive theoretical bounds for the regret and show how it can inform the derivation of our algorithm. We demonstrate the efficacy of our algorithms for optimization on two benchmark functions and two real-world applications - training cascade classifiers and optimizing alloy composition.

Modern Technology for Image processing and Computer vision -A Review

2018 ◽  
Vol 1 (2) ◽  
pp. 17-23
Author(s):  
Takialddin Al Smadi
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Augmented Reality ◽  
Video Compression ◽  
Video Processing ◽  
Vision System ◽  
Citrus Fruit ◽  
Modern Technology ◽  
Image And Video Processing ◽  
Depth Video

This survey outlines the use of computer vision in Image and video processing in multidisciplinary applications; either in academia or industry, which are active in this field.The scope of this paper covers the theoretical and practical aspects in image and video processing in addition of computer vision, from essential research to evolution of application.In this paper a various subjects of image processing and computer vision will be demonstrated ,these subjects are spanned from the evolution of mobile augmented reality (MAR) applications, to augmented reality under 3D modeling and real time depth imaging, video processing algorithms will be discussed to get higher depth video compression, beside that in the field of mobile platform an automatic computer vision system for citrus fruit has been implemented ,where the Bayesian classification with Boundary Growing to detect the text in the video scene. Also the paper illustrates the usability of the handed interactive method to the portable projector based on augmented reality.   © 2018 JASET, International Scholars and Researchers Association

scholarly journals Electronic Phenomena of Transition Metal Oxides

Crystals ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 256
Author(s):  
Christian Rodenbücher ◽  
Kristof Szot
Keyword(s):  
Solid State ◽  
Transition Metal ◽  
Metal Oxides ◽  
Real World ◽  
Transition Metal Oxides ◽  
Major Research ◽  
Research Fields ◽  
Real World Applications

Transition metal oxides with ABO3 or BO2 structures have become one of the major research fields in solid state science, as they exhibit an impressive variety of unusual and exotic phenomena with potential for their exploitation in real-world applications [...]

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