scholarly journals Multimodal Registration Procedure for the Initial Spatial Alignment of a Retinal Video Sequence to a Retinal Composite Image

2010 ◽  
Vol 57 (8) ◽  
pp. 1991-2000 ◽  
Author(s):  
A Martina Broehan ◽  
Christoph Tappeiner ◽  
Simon P Rothenbuehler ◽  
Tobias Rudolph ◽  
Christoph A Amstutz ◽  
...  
Keyword(s):  
Video Sequence ◽  
Composite Image ◽  
Multimodal Registration ◽  
Registration Procedure ◽  
Spatial Alignment

scholarly journals Superpixel-Based Temporally Aligned Representation for Video-Based Person Re-Identification

Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 3861 ◽  
Author(s):  
Changxin Gao ◽  
Jin Wang ◽  
Leyuan Liu ◽  
Jin-Gang Yu ◽  
Nong Sang
Keyword(s):  
Video Sequence ◽  
Video Data ◽  
Still Images ◽  
Spatial Alignment ◽  
Periodicity Property ◽  
The Individual ◽  
Public Datasets ◽  
Time Information ◽  
Candidate Set ◽  
Natural Way

Most existing person re-identification methods focus on matching still person images across non-overlapping camera views. Despite their excellent performance in some circumstances, these methods still suffer from occlusion and the changes of pose, viewpoint or lighting. Video-based re-id is a natural way to overcome these problems, by exploiting space–time information from videos. One of the most challenging problems in video-based person re-identification is temporal alignment, in addition to spatial alignment. To address the problem, we propose an effective superpixel-based temporally aligned representation for video-based person re-identification, which represents a video sequence only using one walking cycle. Particularly, we first build a candidate set of walking cycles by extracting motion information at superpixel level, which is more robust than that at the pixel level. Then, from the candidate set, we propose an effective criterion to select the walking cycle most matching the intrinsic periodicity property of walking persons. Finally, we propose a temporally aligned pooling scheme to describe the video data in the selected walking cycle. In addition, to characterize the individual still images in the cycle, we propose a superpixel-based representation to improve spatial alignment. Extensive experimental results on three public datasets demonstrate the effectiveness of the proposed method compared with the state-of-the-art approaches.

Concerning the Representativeness of Psychiatric Catamnestical Studies - The Influence of Various Approach Strategies on the Response of Former Patients

1986 ◽  
Vol 25 (03) ◽  
pp. 171-175
Author(s):  
I. Steinhart ◽  
G. Bosch ◽  
Th. Muhr ◽  
E. Mohlfeld
Keyword(s):  
Total Population ◽  
Social Psychiatry ◽  
Personal Contact ◽  
Sample Collection ◽  
Careful Planning ◽  
Research Project ◽  
Phone Calls ◽  
Registration Procedure

SummaryThe possible conclusions reached by catamnestical studies are often significantly restricted because of the lack of representativeness of the sample. The example of an investigation of former patients of the Department of Social Psychiatry proves that positive responses to an interview are influenced by various factors. As expected, patients were more inclined to participate in the research project the closer their discharge was to the time of the project itself. Further, it became clear that various different approach strategies, such as letters, enquiries with the registration authorities, phone calls and house visits, effectively increased the motivation of former patients, and that only this kind of graded registration procedure guarantees motivation leading to a sample representative of the total population. Personal contact plays an especially important role. These empirical findings indicate the necessity of careful planning and implementation of sample collection in catamnestical studies. Without this approach, representative results cannot be expected.

An Efficient Multiple Description Coding for Multi-View Video Based on the Correlation of Spatial Polyphase Transformed Subsequences

2019 ◽  
Vol 63 (5) ◽  
pp. 50401-1-50401-7 ◽  
Author(s):  
Jing Chen ◽  
Jie Liao ◽  
Huanqiang Zeng ◽  
Canhui Cai ◽  
Kai-Kuang Ma
Keyword(s):  
Video Transmission ◽  
Video Sequence ◽  
Three Dimensional ◽  
The Other ◽  
Multiple Description Coding ◽  
Multiple Description ◽  
Prediction Mode ◽  
Gradient Based ◽  
Directional Interpolation ◽  
Description Coding

Abstract For a robust three-dimensional video transmission through error prone channels, an efficient multiple description coding for multi-view video based on the correlation of spatial polyphase transformed subsequences (CSPT_MDC_MVC) is proposed in this article. The input multi-view video sequence is first separated into four subsequences by spatial polyphase transform and then grouped into two descriptions. With the correlation of macroblocks in corresponding subsequence positions, these subsequences should not be coded in completely the same way. In each description, one subsequence is directly coded by the Joint Multi-view Video Coding (JMVC) encoder and the other subsequence is classified into four sets. According to the classification, the indirectly coding subsequence selectively employed the prediction mode and the prediction vector of the counter directly coding subsequence, which reduces the bitrate consumption and the coding complexity of multiple description coding for multi-view video. On the decoder side, the gradient-based directional interpolation is employed to improve the side reconstructed quality. The effectiveness and robustness of the proposed algorithm is verified by experiments in the JMVC coding platform.

scholarly journals Understanding the clinical reasoning processes involved in the management of multimorbidity in an ambulatory setting: study protocol of a stimulated recall research

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
M.-C. Audétat ◽  
S. Cairo Notari ◽  
J. Sader ◽  
C. Ritz ◽  
T. Fassier ◽  
...  
Keyword(s):  
Primary Care ◽  
Clinical Reasoning ◽  
Primary Care Physicians ◽  
Video Sequence ◽  
Structured Interview ◽  
Ambulatory Setting ◽  
Structured Interviews ◽  
Stimulated Recall ◽  
Study Results

Abstract Background Primary care physicians are at the very heart of managing patients suffering from multimorbidity. However, several studies have highlighted that some physicians feel ill-equipped to manage these kinds of complex clinical situations. Few studies are available on the clinical reasoning processes at play during the long-term management and follow-up of patients suffering from multimorbidity. This study aims to contribute to a better understanding on how the clinical reasoning of primary care physicians is affected during follow-up consultations with these patients. Methods A qualitative research project based on semi-structured interviews with primary care physicians in an ambulatory setting will be carried out, using the video stimulated recall interview method. Participants will be filmed in their work environment during a standard consultation with a patient suffering from multimorbidity using a “button camera” (small camera) which will be pinned to their white coat. The recording will be used in a following semi-structured interview with physicians and the research team to instigate a stimulated recall. Stimulated recall is a research method that allows the investigation of cognitive processes by inviting participants to recall their concurrent thinking during an event when prompted by a video sequence recall. During this interview, participants will be prompted by different video sequence and asked to discuss them; the aim will be to encourage them to make their clinical reasoning processes explicit. Fifteen to twenty interviews are planned to reach data saturation. The interviews will be transcribed verbatim and data will be analysed according to a standard content analysis, using deductive and inductive approaches. Conclusion Study results will contribute to the scientific community’s overall understanding of clinical reasoning. This will subsequently allow future generation of primary care physicians to have access to more adequate trainings to manage patients suffering from multimorbidity in their practice. As a result, this will improve the quality of the patient’s care and treatments.

scholarly journals Infrared and visible image fusion via octave Gaussian pyramid framework

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lei Yan ◽  
Qun Hao ◽  
Jie Cao ◽  
Rizvi Saad ◽  
Kun Li ◽  
...  
Keyword(s):  
Image Fusion ◽  
Low Frequency ◽  
Objective Evaluation ◽  
Visible Image ◽  
Composite Image ◽  
Multiscale Decomposition ◽  
Gaussian Pyramid ◽  
Fusion Methods ◽  
Scale Spaces ◽  
Fusion Framework

AbstractImage fusion integrates information from multiple images (of the same scene) to generate a (more informative) composite image suitable for human and computer vision perception. The method based on multiscale decomposition is one of the commonly fusion methods. In this study, a new fusion framework based on the octave Gaussian pyramid principle is proposed. In comparison with conventional multiscale decomposition, the proposed octave Gaussian pyramid framework retrieves more information by decomposing an image into two scale spaces (octave and interval spaces). Different from traditional multiscale decomposition with one set of detail and base layers, the proposed method decomposes an image into multiple sets of detail and base layers, and it efficiently retains high- and low-frequency information from the original image. The qualitative and quantitative comparison with five existing methods (on publicly available image databases) demonstrate that the proposed method has better visual effects and scores the highest in objective evaluation.

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