Building and Displaying a Frame Sequence

2003 ◽  
pp. 83-98
Keyword(s):  
Frame Sequence

scholarly journals Robust Principal Component Analysis-Based Infrared Small Target Detection

2019 ◽  
Vol 33 ◽  
pp. 9925-9926
Author(s):  
Qiwei Chen ◽  
Cheng Wu ◽  
Yiming Wang
Keyword(s):  
Iteration Process ◽  
Principal Component ◽  
Component Analysis ◽  
Low Rank ◽  
Small Target ◽  
Frame Sequence ◽  
Augmented Lagrange Multiplier ◽  
Small Targets ◽  
Infrared Small Target ◽  
Augmented Lagrange Multiplier Method

A method based on Robust Principle Component Analysis (RPCA) technique is proposed to detect small targets in infrared images. Using the low rank characteristic of background and the sparse characteristic of target, the observed image is regarded as the sum of a low-rank background matrix and a sparse outlier matrix, and then the decomposition is solved by the RPCA. The infrared small target is extracted from the single-frame image or multi-frame sequence. In order to get more efficient algorithm, the iteration process in the augmented Lagrange multiplier method is improved. The simulation results show that the method can detect out the small target precisely and efficiently.

scholarly journals COVID-19 and thyroid disease: an infodemiological pilot study

2021 ◽  
Author(s):  
Ioannis ILIAS ◽  
Charalambos MILIONIS ◽  
Eftychia KOUKKOU
Keyword(s):  
Thyroid Disease ◽  
Time Frame ◽  
Specific Symptom ◽  
Disease Epidemiology ◽  
Frame Sequence ◽  
Search Terms ◽  
Time Period ◽  
Cross Correlation Analysis ◽  
Time Periods ◽  
Per Se

Abstract Introduction: Some studies have linked COVID-19 with thyroid disease. Google Trends (GT) searches may reflect disease epidemiology. Recently, GT searches for COVID-19-associated terms have been linked to the epidemiology of COVID-19. In this study we aimed to assess COVID-19 cases per se vs COVID-19-associated GT searches and thyroid-associated GT searches. Materials-Methods: We collected data on worldwide weekly GT searches regarding “COVID-19”, “SARS-COV-2”, “coronavirus”, “smell”, “taste”, “fatigue”, “cough”, “thyroid”, “thyroiditis” and “subacute thyroiditis” for 92 weeks and worldwide weekly COVID-19 cases' statistics in the same time period. The study period was split in half and in each time period we performed cross-correlation analysis and mediation analysis. Results Significant positive CCF values were noted in both time periods; while COVID-19 cases per se were associated with “thyroid” searches in both time periods, significant CCFs for “fatigue”, “COVID-19” and “SARS-COV-s” were mostly found in the second time period. In the latter period, the effect of “COVID-19” searches on “thyroid” searches was significantly mediated by COVID-19 cases (p=0.048). Discussion COVID-19 cases per se were found to be associated with no lag with GT searches for COVID-19 symptoms in the first time period and in the second time period to lead searches for symptoms, COVID-19 terms as well as thyroid terms. Searches for a non-specific symptom or COVID-19 search terms mostly lead GT “thyroid” searches, in the second time period. This time frame/sequence particularly in the second time period (noted by the preponderance of the SARS-COV-2 delta variant), lends some credence to associations of COVID-19 cases per se with (apparent) thyroid disease (via searches for them).

Continuous Bidirectional Optical Flow for Video Frame Sequence Interpolation

2019 ◽  
Author(s):  
Donghao Gu ◽  
ZhaoJing Wen ◽  
Wenxue Cui ◽  
Rui Wang ◽  
Feng Jiang ◽  
...  
Keyword(s):  
Optical Flow ◽  
Video Frame ◽  
Frame Sequence

scholarly journals AR Oriented Pose Matching Mechanism from Motion Capture Data

2018 ◽  
Vol 7 (4.35) ◽  
pp. 294
Author(s):  
Javid Iqbal ◽  
Manjit Singh Sidhu ◽  
Mutahir Bin Mohamed Ariff
Keyword(s):  
Mapping Method ◽  
Recognition Algorithm ◽  
Learning Technology ◽  
Motion Capture Data ◽  
Kinect Sensor ◽  
Data Frame ◽  
Frame Sequence ◽  
Dance Training ◽  
Movement Recognition ◽  
Matching Mechanism

Pose matching and skeletal mapping method are an integral part of Augmented Reality (AR) based learning technology. In this paper a mechanism for pose matching is presented based on extraction of skeletal data from the dance trainer’s physical movements in the form of color defined images snapped by Kinect, where each pose is modelled by a sequence of key movements and continues data frames. In order to extract the exact matched pose, the frame sequence is divided into pose feature frame and skeletal data frame by the use of pose matching dance training movement recognition algorithm (PMDTMR). This proposed algorithm is compared with other published methods in terms of frame level accuracy and learning time of dance session. The experimental results show that the proposed algorithm outperforms the state of art techniques for successful identification and recognition of matched pose between the dance trainer and the expert of the pre-recorded video through the Kinect sensor.

scholarly journals Determination of the henipavirus phosphoprotein gene mRNA editing frequencies and detection of the C, V and W proteins of Nipah virus in virus-infected cells

2009 ◽  
Vol 90 (2) ◽  
pp. 398-404 ◽  
Author(s):  
Michael K. Lo ◽  
Brian H. Harcourt ◽  
Bruce A. Mungall ◽  
Azaibi Tamin ◽  
Mark E. Peeples ◽  
...  
Keyword(s):  
Nipah Virus ◽  
Hendra Virus ◽  
Mrna Editing ◽  
C Protein ◽  
Reading Frame ◽  
Frame Sequence ◽  
P Gene ◽  
Infected Cells ◽  
Phosphoprotein Gene

The henipaviruses, Nipah virus (NiV) and Hendra virus (HeV), are highly pathogenic zoonotic paramyxoviruses. Like many other paramyxoviruses, henipaviruses employ a process of co-transcriptional mRNA editing during transcription of the phosphoprotein (P) gene to generate additional mRNAs encoding the V and W proteins. The C protein is translated from the P mRNA, but in an alternate reading frame. Sequence analysis of multiple, cloned mRNAs showed that the mRNA editing frequencies of the P genes of the henipaviruses are higher than those reported for other paramyxoviruses. Antisera to synthetic peptides from the P, V, W and C proteins of NiV were generated to study their expression in infected cells. All proteins were detected in both infected cells and purified virions. In infected cells, the W protein was detected in the nucleus while P, V and C were found in the cytoplasm.

scholarly journals Molecular characterisation, expression and functional feature of TRAF6 in the King pigeon (Columba livia)

2020 ◽  
Vol 26 (6) ◽  
pp. 490-504
Author(s):  
Yaxin Guo ◽  
Ying Xu ◽  
Dan Xiong ◽  
Yingying Zhou ◽  
Xilong Kang ◽  
...  
Keyword(s):  
Bacterial Infections ◽  
Coiled Coil ◽  
Ring Finger ◽  
Columba Livia ◽  
Low Complexity ◽  
Dependent Manner ◽  
Small Interfering Rnas ◽  
Functional Feature ◽  
Reading Frame ◽  
Frame Sequence

TNF receptor-associated factor 6 (TRAF6) is a signal transducer, which plays a pivotal role in triggering a variety of signalling cascades. Here, we cloned and identified the TRAF6 gene from the King pigeon. The open reading frame sequence of pigeon TRAF6 (piTRAF6) is 1638 bp long and encodes a 545 aa protein, including a low-complexity domain, RING finger, Zinc finger, coiled coil domain, and meprin and TRAF homology domain. The aa sequence of piTRAF6 shared a strong identity with that of other birds. PiTRAF6 transcripts were broadly expressed in all the tested tissues; piTRAF6 levels were the highest and lowest in the heart and stomach, respectively. Overexpression of piTRAF6 activated NF-κB in a dose-dependent manner and induced IFN-β expression. Upon piTRAF6 knockdown by small interfering RNAs, NF-κB activation was markedly inhibited in HEK293T cells. The expression of piTRAF6, as well as pro-inflammatory cytokines and antiviral molecules, were obviously increased after TLR ligand stimulation and Newcastle disease virus or Salmonella Pullorum inoculation. These results suggest that piTRAF6 may play a key immunoregulatory role in the innate immune response against viral and bacterial infections.

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