scholarly journals Improving meeting capture by applying television production principles with audio and motion detection

Author(s):  
Abhishek Ranjan ◽  
Jeremy Birnholtz ◽  
Ravin Balakrishnan
2013 ◽  
Vol 10 (3) ◽  
pp. 635-649 ◽  
Author(s):  
Gillian Murray

This article uses an extant collection of television news inserts and other television ephemera to examine women's employment at Midlands ATV. Focusing on the years between the first Midlands News broadcasts in 1956 until major contract changes across the ITV network in 1968, it examines the jobs women did during this formative period and their chances for promotion. In particular it suggests that contemporary ideas of glamour and their influence in screen culture maintained a significant influence in shaping women's employment. This connection between glamorous television aesthetics and female employees as the embodiment of glamour, especially on screen, did leave women vulnerable to redundancy as ‘frivolity’ in television was increasingly criticised in the mid-1960s. However, this article argues that the precarious status of women in the industry should not undermine historical appreciation of the value of their work in the establishing of television in Britain. Setting this study of Midlands ATV within the growing number of studies into women's employment in television, there are certain points of comparison with women's experience at the BBC and in networked ITV current affairs programmes. However, while the historical contours of television production are broadly comparable, there are clear distinctions, such as the employment of a female newscaster, Pat Cox, between 1956 and 1965. Such distinctions also suggest that regional news teams were experimenting with the development of a vernacular television news style that requires further study.


2016 ◽  
Vol 136 (12) ◽  
pp. 1759-1760
Author(s):  
Masao Izumi ◽  
Kenji Hashimoto
Keyword(s):  

2020 ◽  
pp. 1-10
Author(s):  
Bryce J. Dietrich

Abstract Although previous scholars have used image data to answer important political science questions, less attention has been paid to video-based measures. In this study, I use motion detection to understand the extent to which members of Congress (MCs) literally cross the aisle, but motion detection can be used to study a wide range of political phenomena, like protests, political speeches, campaign events, or oral arguments. I find not only are Democrats and Republicans less willing to literally cross the aisle, but this behavior is also predictive of future party voting, even when previous party voting is included as a control. However, this is one of the many ways motion detection can be used by social scientists. In this way, the present study is not the end, but the beginning of an important new line of research in which video data is more actively used in social science research.


Author(s):  
Jonny Nordström ◽  
Hendrik J. Harms ◽  
Tanja Kero ◽  
Jens Sörensen ◽  
Mark Lubberink

Abstract Background Patient motion is a common problem during cardiac PET. The purpose of the present study was to investigate to what extent motions influence the quantitative accuracy of cardiac 15O-water PET/CT and to develop a method for automated motion detection. Method Frequency and magnitude of motion was assessed visually using data from 50 clinical 15O-water PET/CT scans. Simulations of 4 types of motions with amplitude of 5 to 20 mm were performed based on data from 10 scans. An automated motion detection algorithm was evaluated on clinical and simulated motion data. MBF and PTF of all simulated scans were compared to the original scan used as reference. Results Patient motion was detected in 68% of clinical cases by visual inspection. All observed motions were small with amplitudes less than half the LV wall thickness. A clear pattern of motion influence was seen in the simulations with a decrease of myocardial blood flow (MBF) in the region of myocardium to where the motion was directed. The perfusable tissue fraction (PTF) trended in the opposite direction. Global absolute average deviation of MBF was 3.1% ± 1.8% and 7.3% ± 6.3% for motions with maximum amplitudes of 5 and 20 mm, respectively. Automated motion detection showed a sensitivity of 90% for simulated motions ≥ 10 mm but struggled with the smaller (≤ 5 mm) simulated (sensitivity 45%) and clinical motions (accuracy 48%). Conclusion Patient motion can impair the quantitative accuracy of MBF. However, at typically occurring levels of patient motion, effects are similar to or only slightly larger than inter-observer variability, and downstream clinical effects are likely negligible.


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