Metric measurement from street view sequences with simple operator assistance and phase correlation based frame selection

2011 ◽  
Author(s):  
Ersin Ozuag ◽  
M. Kemal Gullu ◽  
Oguzhan Urhan ◽  
Sarp Erturk
Keyword(s):  
Phase Correlation ◽  
Frame Selection ◽  
Street View ◽  
Simple Operator ◽  
Metric Measurement ◽  
Operator Assistance

An Adapted Measure of Teacher Self-Efficacy for Preservice Teachers: Exploring its Validity Across two Countries

2014 ◽  
Vol 28 (3) ◽  
pp. 83-92 ◽  
Author(s):  
Franziska Pfitzner-Eden ◽  
Felicitas Thiel ◽  
Jenny Horsley
Keyword(s):  
Preservice Teachers ◽  
Self Efficacy ◽  
Confirmatory Factor Analyses ◽  
3 Dimensional ◽  
Multiple Group ◽  
Three Samples ◽  
Confirmatory Factor ◽  
Teacher Self Efficacy ◽  
Dimensional Assessment ◽  
Metric Measurement

Teacher self-efficacy (TSE) is an important construct in the prediction of positive student and teacher outcomes. However, problems with its measurement have persisted, often through confounding TSE with other constructs. This research introduces an adapted TSE instrument for preservice teachers, which is closely aligned with self-efficacy experts' recommendations for measuring self-efficacy, and based on a widely used measure of TSE. We provide first evidence of construct validity for this instrument. Participants were 851 preservice teachers in three samples from Germany and New Zealand. Results of the multiple-group confirmatory factor analyses showed a uniform 3-factor solution for all samples, metric measurement invariance, and a consistent and moderate correlation between TSE and a measure of general self-efficacy across all samples. Despite limitations to this study, there is some first evidence that this measure allows for a valid 3-dimensional assessment of TSE in preservice teachers.

Towards the Use of a Tree Branching Logic in the Environment of a Hospital Information System

1980 ◽  
Vol 19 (04) ◽  
pp. 187-194
Author(s):  
J.-Ph. Berney ◽  
R. Baud ◽  
J.-R. Scherrer
Keyword(s):  
Syntactic Structure ◽  
Large Data ◽  
Selection System ◽  
Frame Selection ◽  
Knowing That ◽  
Medical Language ◽  
Selection Systems ◽  
Definition Of ◽  
Man Machine Dialogue ◽  
Oriented System

It is well known that Frame Selection Systems (FFS) have proved both popular and effective in physician-machine and patient-machine dialogue. A formal algorithm for definition of a Frame Selection System for handling man-machine dialogue is presented here. Besides, it is shown how the natural medical language can be handled using the approach of a tree branching logic. This logic appears to be based upon ordered series of selections which enclose a syntactic structure. The external specifications are discussed with regard to convenience and efficiency. Knowing that all communication between the user and the application programmes is handled only by FSS software, FSS contributes to achieving modularity and, therefore, also maintainability in a transaction-oriented system with a large data base and concurrent accesses.

CNN-based Rain Reduction in Street View Images

2020 ◽  
Vol 2020 (1) ◽  
pp. 78-81
Author(s):  
Simone Zini ◽  
Simone Bianco ◽  
Raimondo Schettini
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
State Of The Art ◽  
Weather Conditions ◽  
Specific Interest ◽  
Optical Character ◽  
Street View ◽  
In The Wild ◽  
Bad Weather ◽  
Detection And Recognition

Rain removal from pictures taken under bad weather conditions is a challenging task that aims to improve the overall quality and visibility of a scene. The enhanced images usually constitute the input for subsequent Computer Vision tasks such as detection and classification. In this paper, we present a Convolutional Neural Network, based on the Pix2Pix model, for rain streaks removal from images, with specific interest in evaluating the results of the processing operation with respect to the Optical Character Recognition (OCR) task. In particular, we present a way to generate a rainy version of the Street View Text Dataset (R-SVTD) for "text detection and recognition" evaluation in bad weather conditions. Experimental results on this dataset show that our model is able to outperform the state of the art in terms of two commonly used image quality metrics, and that it is capable to improve the performances of an OCR model to detect and recognise text in the wild.

APLIKASI PENAJAMAN CITRAA STREET VIEW MENGGUNAKAN METODE GRAMD SCHMIDT SPECTRAL SHARPENING DAN HIGH PASS FILTERING

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Erna Verawati ◽  
Surya Darma Nasution ◽  
Imam Saputra
Keyword(s):  
Image Processing ◽  
Visual Information ◽  
Intensity Difference ◽  
Original Image ◽  
Filtering Method ◽  
The Road ◽  
Street View ◽  
Result Show ◽  
Filter Process ◽  
High Pass

Sharpening the image of the road display requies a degree of brightness in the process of sharpening the image from the original image result of the improved image. One of the sharpening of the street view image is image processing. Image processing is one of the multimedia components that plays an important role as a form of visual information. There are many image processing methods that are used in sharpening the image of street views, one of them is the gram schmidt spectral sharpening method and high pass filtering. Gram schmidt spectral sharpening method is method that has another name for intensity modulation based on a refinement fillter. While the high pass filtering method is a filter process that btakes image with high intensity gradients and low intensity difference that will be reduced or discarded. Researce result show that the gram schmidt spectral sharpening method and high pass filtering can be implemented properly so that the sharpening of the street view image can be guaranteed sharpening by making changes frome the original image to the image using the gram schmidt spectral sharpening method and high pass filtering.Keywords: Image processing, gram schmidt spectral sharpening and high pass filtering.

Street View

Transfers ◽  
2013 ◽  
Vol 3 (2) ◽  
pp. 130-135
Author(s):  
Joe Benge
Keyword(s):  
United States ◽  
Street View

The Pruitt-Igoe Myth, United States, 2011, produced by Chad Freidrichs, Jaime Freidrichs, Brian Woodman, and Paul Fehler, directed by Chad Freidrichs, written by Chad Freidrichs and Jaime Freidrichs.

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