Video Data Analysis: A Methodological Frame for a Novel Research Trend

被引:85
|
作者
Nassauer, Anne [1 ]
Legewie, Nicolas M. [2 ]
机构
[1] Free Univ Berlin, John F Kennedy Inst, Dept Sociol, Lansstr 7-9, D-14195 Berlin, Germany
[2] German Inst Econ Res DIW Berlin, Socioecon Panel, Berlin, Germany
关键词
video; visual data; emotions; microsociology; situational analysis; interactions; behavioral analysis; MICRO-SOCIOLOGY; VIOLENCE; DYNAMICS;
D O I
10.1177/0049124118769093
中图分类号
O1 [数学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 0701 ; 070101 ;
摘要
Since the early 2000s, the proliferation of cameras, whether in mobile phones or CCTV, led to a sharp increase in visual recordings of human behavior. This vast pool of data enables new approaches to analyzing situational dynamics. Application is both qualitative and quantitative and ranges widely in fields such as sociology, psychology, criminology, and education. Despite the potential and numerous applications of this approach, a consolidated methodological frame does not exist. This article draws on various fields of study to outline such a frame, what we call video data analysis (VDA). We discuss VDA's research agenda, methodological forebears, and applications, introduce an analytic tool kit, and discuss criteria for validity. We aim to establish VDA as a methodological frame and an interdisciplinary analytic approach, thereby enhancing efficiency and comparability of studies, and communication among disciplines that employ VDA. This article can serve as a point of reference for current and future practitioners, reviewers, and interested readers.
引用
收藏
页码:135 / 174
页数:40
相关论文
共 50 条
  • [21] A Novel Digital Video Watermarking Scheme Based on the Scene Change Analysis
    Geetamma, Tummalapalli
    Krishna, T. V. N. N. M. Vamsi
    Rao, D. Srinivasa
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS DESIGN AND INTELLIGENT APPLICATIONS 2012 (INDIA 2012), 2012, 132 : 187 - 194
  • [22] Generation of Airborne Synthetic Aperture Radar Video from Stripmap and Spot mode images and Frame Rate Analysis
    Manikandan, S.
    Nigam, Chhabi
    Ramakrishnan, S.
    Seshagiri, D.
    2020 IEEE INDIA GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (INGARSS), 2020, : 142 - 145
  • [23] A Survey on Compression Domain Image and Video Data Processing and Analysis Techniques
    Dong, Yuhang
    Pan, W. David
    INFORMATION, 2023, 14 (03)
  • [24] Application of MongoDB Technology in NoSQL Database in Video Intelligent Big Data Analysis
    Tan, Qing
    PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON MANAGEMENT AND COMPUTER SCIENCE (ICMCS 2018), 2018, 77 : 104 - 108
  • [25] A novel statistical analysis and interpretation of flow cytometry data
    Banks, H. T.
    Kapraun, D. F.
    Thompson, W. Clayton
    Peligero, Cristina
    Argilaguet, Jordi
    Meyerhans, Andreas
    JOURNAL OF BIOLOGICAL DYNAMICS, 2013, 7 (01) : 96 - 132
  • [26] Emergency methodological pivots: a situational analysis of doctoral candidates' research engagement during crisis in the United States
    Johnson, Ane Turner
    Kerrigan, Monica Reid
    STUDIES IN GRADUATE AND POSTDOCTORAL EDUCATION, 2022, 13 (01) : 74 - 89
  • [27] Disciplinary and gender-based variations: A frame-based analysis of interest markers in research articles
    Wang, Qian
    Hu, Guangwei
    ENGLISH FOR SPECIFIC PURPOSES, 2023, 70 : 177 - 191
  • [28] Using video for fact-checking on Facebook. Analysis of the trend and reach of Ibero-American production (2016-2021)
    Dafonte-Gomez, Alberto
    Ramahi-Garcia, Diana
    Garcia-Crespo, Oswaldo
    PROFESIONAL DE LA INFORMACION, 2023, 32 (05):
  • [29] A Novel Data Hiding Scheme for H.264/AVCVideo Streams Without Intra-Frame Distortion Drift
    Liu, YunXia
    Li, Zhitang
    Ma, Xiaojing
    Liu, Jian
    PROCEEDINGS OF 2012 IEEE 14TH INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY, 2012, : 824 - 828
  • [30] RESEARCH TREND AND STATUS OF FORESTRY BASED ON ESSENTIAL SCIENCE INDICATORS DURING 2010-2020: A BIBLIOMETRIC ANALYSIS
    Yuan, B. Z.
    Sun, J.
    APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH, 2021, 19 (06): : 4941 - 4957