Dissimilarity based on direction information and its application

2011 ◽  
Author(s):  
Chun Zhong Li ◽  
Yu Bo Yuan ◽  
Zong Ben Xu
Keyword(s):  
Direction Information

scholarly journals HOLBP: Remote Sensing Image Registration Based on Histogram of Oriented Local Binary Pattern Descriptor

2021 ◽  
Vol 13 (12) ◽  
pp. 2328
Author(s):  
Yameng Hong ◽  
Chengcai Leng ◽  
Xinyue Zhang ◽  
Zhao Pei ◽  
Irene Cheng ◽  
...  
Keyword(s):  
Image Registration ◽  
Local Binary Pattern ◽  
Computational Time ◽  
Rotation Invariant ◽  
Edge Information ◽  
Important Research Topic ◽  
New Construction ◽  
Novel Method ◽  
Direction Information ◽  
Angle Calculation

Image registration has always been an important research topic. This paper proposes a novel method of constructing descriptors called the histogram of oriented local binary pattern descriptor (HOLBP) for fast and robust matching. There are three new components in our algorithm. First, we redefined the gradient and angle calculation template to make it more sensitive to edge information. Second, we proposed a new construction method of the HOLBP descriptor and improved the traditional local binary pattern (LBP) computation template. Third, the principle of uniform rotation-invariant LBP was applied to add 10-dimensional gradient direction information to form a 138-dimension HOLBP descriptor vector. The experimental results showed that our method is very stable in terms of accuracy and computational time for different test images.

A Research of Intra Prediction Coding with Variance of Prediction Mode Number

2015 ◽  
Vol 719-720 ◽  
pp. 1177-1183
Author(s):  
Wei Zheng ◽  
Long Ye ◽  
Jing Ling Wang ◽  
Qin Zhang
Keyword(s):  
State Of The Art ◽  
Intra Prediction ◽  
Mode Number ◽  
Bit Rate ◽  
Rate Reduction ◽  
Directional Information ◽  
Mode Index ◽  
Residual Image ◽  
Prediction Mode ◽  
Direction Information

Intra prediction is a key step in H.264/AVC to improve the coding performance with the idea that removing the directional redundancy among neighboring blocks. In order to cover more directional information existed in the image frames, there are usually many prediction modes can be selected in the state-of-the-art coding frameworks, but more bits are also needed to encode the prediction mode index information, then how to achieve the maximum overall bit-rate reduction became a problem. In this paper, 16 kinds of prediction modes are adopted by considering the direction information for 8x8 image blocks. Through calculating the bit-rate both for the mode index and residual image under different number of prediction modes, we obtain the most suitable prediction mode number relatively from the graphs. Experimental results show that, with the increase of prediction mode number, the residual information decreases obviously, and the sum of residual information and prediction mode index information also decreases but levels off after reaching a certain mode number, even has an obviously rising trend.

Direction-Aware User Recommendation Based on Asymmetric Network Embedding

2022 ◽  
Vol 40 (2) ◽  
pp. 1-23
Author(s):  
Sheng Zhou ◽  
Xin Wang ◽  
Martin Ester ◽  
Bolang Li ◽  
Chen Ye ◽  
...  
Keyword(s):  
Social Networks ◽  
Random Walk ◽  
Real World ◽  
Directed Network ◽  
Network Embedding ◽  
The Social ◽  
Benchmark Datasets ◽  
Direction Information ◽  
User Recommendation ◽  
Asymmetric Proximity

User recommendation aims at recommending users with potential interests in the social network. Previous works have mainly focused on the undirected social networks with symmetric relationship such as friendship, whereas recent advances have been made on the asymmetric relationship such as the following and followed by relationship. Among the few existing direction-aware user recommendation methods, the random walk strategy has been widely adopted to extract the asymmetric proximity between users. However, according to our analysis on real-world directed social networks, we argue that the asymmetric proximity captured by existing random walk based methods are insufficient due to the inbalance in-degree and out-degree of nodes. To tackle this challenge, we propose InfoWalk, a novel informative walk strategy to efficiently capture the asymmetric proximity solely based on random walks. By transferring the direction information into the weights of each step, InfoWalk is able to overcome the limitation of edges while simultaneously maintain both the direction and proximity. Based on the asymmetric proximity captured by InfoWalk, we further propose the qualitative (DNE-L) and quantitative (DNE-T) directed network embedding methods, capable of preserving the two properties in the embedding space. Extensive experiments conducted on six real-world benchmark datasets demonstrate the superiority of the proposed DNE model over several state-of-the-art approaches in various tasks.

scholarly journals Analysis of Multisensory-Motor Integration in Olfactory Navigation of Silkmoth, Bombyx mori, using Virtual Reality System

2021 ◽  
Author(s):  
Mayu Yamada ◽  
Hirono Ohashi ◽  
Koh Hosoda ◽  
Daisuke Kurabayashi ◽  
Shunsuke Shigaki
Keyword(s):  
Virtual Reality ◽  
Success Rate ◽  
Wind Direction ◽  
Visual Information ◽  
Search Algorithm ◽  
Search Behavior ◽  
Direction Of Arrival ◽  
Behavioral Experiments ◽  
Direction Information ◽  
Multisensory Information

Most animals survive and thrive due to navigation behavior to reach their destinations. In order to navigate, it is important for animals to integrate information obtained from multisensory inputs and use that information to modulate their behavior. In this study, by using a virtual reality (VR) system for an insect, we investigated how an adult silkmoth integrates visual and wind direction information during female search behavior (olfactory behavior). According to the behavioral experiments using the VR system, the silkmoth had the highest navigation success rate when odor, vision, and wind information were correctly provided. However, we found that the success rate of the search signifcantly reduced if wind direction information was provided that was incorrect from the direction actually detected. This indicates that it is important to acquire not only odor information, but also wind direction information correctly. In other words, Behavior was modulated by the degree of co-incidence between the direction of arrival of the odor and the direction of arrival of the wind, and posture control (angular velocity control) was modulated by visual information. We mathematically modeled the modulation of behavior using multisensory information and evaluated it by simulation. As a result, the mathematical model not only succeeded in reproducing the actual female search behavior of the silkmoth, but can also improve search success relative to the conventional odor source search algorithm.

scholarly journals Retinal flow and visual direction information in the control of steering

2010 ◽  
Vol 2 (7) ◽  
pp. 432-432
Author(s):  
J. P. Wann ◽  
R. M. Wilkie
Keyword(s):  
Visual Direction ◽  
Direction Information

scholarly journals Inserção de conteúdos na web a partir das seis propostas de Ítalo Calvino | Content insertion on the web and Italo Calvino’s six proposals

2010 ◽  
Vol 6 (1) ◽  
Author(s):  
Cristina Benedeti Guilhem
Keyword(s):  
Information And Communication Technology ◽  
Communication Technology ◽  
Continuous Flow ◽  
Information Diffusion ◽  
Italo Calvino ◽  
Information And Communication ◽  
Direction Information ◽  
Flow Of Information ◽  
The Web

Resumo Este artigo tem como objetivo expor algumas diretrizes que possam concorrer para a inserção de conteúdos na Web, a fim de promover acesso facilitado e fluxo contínuo de disseminação às informações em um ambiente no qual permite acesso, compartilhamento, interação e colaboração da informação e do conhecimento. Com o intuito de atingir esse fim, o artigo discorre acerca dos seguintes assuntos: virtualidade do texto, seis propostas para o próximo milênio de Ítalo Calvino, sendo: leveza, rapidez, exatidão, visualização, multiplicidade e consistência e diretrizes apontadas a partir dessas características. Palavras-chave conteúdos informacionais; diretrizes; tecnologia de informação e comunicação (TIC); web; bens imateriais Abstract This article aims to display some directions in which the insertion of contents on the Web can concur in order to promote easier access and continuous flow of information diffusion in an environment which allows access, sharing, interaction and contribution of information and knowledge. To this end, the article discusses the following subjects: potentiality of the text, six proposals for the next millenium to Ítalo Calvino, being: slightness, rapidity, exactness, visualization, multiplicity and consistency and the directions these characteristics point to. Keywords informational contents; lines of direction; information and communication technology (ICT); web; incorporeal personal properties    

scholarly journals Modified S2CVA Algorithm Using Cross-Sharpened Images for Unsupervised Change Detection

2018 ◽  
Vol 10 (9) ◽  
pp. 3301 ◽  
Author(s):  
Honglyun Park ◽  
Jaewan Choi ◽  
Wanyong Park ◽  
Hyunchun Park
Keyword(s):  
Change Detection ◽  
False Alarm ◽  
False Alarm Rate ◽  
Seasonal Effects ◽  
Detection Accuracy ◽  
Difference Image ◽  
Before And After ◽  
Change Detection Algorithms ◽  
The Difference ◽  
Direction Information

This study aims to reduce the false alarm rate due to relief displacement and seasonal effects of high-spatial-resolution multitemporal satellite images in change detection algorithms. Cross-sharpened images were used to increase the accuracy of unsupervised change detection results. A cross-sharpened image is defined as a combination of synthetically pan-sharpened images obtained from the pan-sharpening of multitemporal images (two panchromatic and two multispectral images) acquired before and after the change. A total of four cross-sharpened images were generated and used in combination for change detection. Sequential spectral change vector analysis (S2CVA), which comprises the magnitude and direction information of the difference image of the multitemporal images, was applied to minimize the false alarm rate using cross-sharpened images. Specifically, the direction information of S2CVA was used to minimize the false alarm rate when applying S2CVA algorithms to cross-sharpened images. We improved the change detection accuracy by integrating the magnitude and direction information obtained using S2CVA for the cross-sharpened images. In the experiment using KOMPSAT-2 satellite imagery, the false alarm rate of the change detection results decreased with the use of cross-sharpened images compared to that with the use of only the magnitude information from the original S2CVA.

Stages of Information Systems in E-Government for Knowledge Management

2011 ◽  
pp. 270-280
Author(s):  
Petter Gottschalk
Keyword(s):  
Knowledge Management ◽  
Information Systems ◽  
Police Officers ◽  
Growth Models ◽  
Knowledge Work ◽  
Management Systems ◽  
Financial Crime ◽  
Knowledge Management Systems ◽  
Knowledge Intensive ◽  
Direction Information

A stage model for knowledge management systems in policing financial crime is developed in this chapter. Stages of growth models enable identification of organizational maturity and direction. Information technology to support knowledge work of police officers is improving. For example, new information systems supporting police investigations are evolving. Police investigation is an information-rich and knowledge-intensive practice. Its success depends on turning information into evidence. This chapter presents an organizing framework for knowledge management systems in policing financial crime. Future case studies will empirically have to illustrate and validate the stage hypothesis developed in this paper.

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