CodingMultimedia 2016 : Techniques for Coding Imagery and Multimedia for Research Purposes
Call For Papers
Shalin Hai-Jew, Ed.D.
Kansas State University
Call for Chapters
Proposals Submission Deadline: January 30, 2016
Full Chapters Due: May 30, 2016
Revised Submission Date: August 30, 2016
Finalized Chapters: October 30, 2016
Historically, visual depictions and sometimes writing have been used to capture and convey ideas. As various fields-of-study came into being and were formalized, people used writing (texts) and figures to describe their work and to create a historical trail. In the present age, virtually every field of academic study and every research domain, data and information are at least partially contained in digital imagery and multimedia. People have developed a variety of tools to engage their environment and to record it. They have created tools that enable multi-sensory sensing…and enabled the collecting of data beyond the range of human senses. They have turned to imagery and multimedia to represent complex data that would be difficult to convey otherwise (think huge and multi-faceted datasets).
These visual contents may be conceptual or directly empirical and real-world. They may range from nano-scale to global- and universe-and even multi-verse scale. The visuals may be collected autonomously or through machine-enabled human actions. Imagery may be analyzed in various ways to surface insights and often-latent facts. Likewise, heterogeneous multimedia (audio, video, slideshows, games, simulations, and others) contain rich data and information. In this age of big-scale data, there is the sense that every artifact has informational value, something to contribute to larger understandings. This is particularly so for social media data captured in-the-wild on the WWW and Internet.
This book is a space for capturing how researchers code imagery and multimedia for research purposes. How do researchers systematically make sense of what they are seeing and experiencing? After all, in the current research literature, there are some limited descriptions of coding approaches to imagery and multimedia applied in particular cases and contexts. Some of these come from media studies (to understand popular journalistic representations) and others in cultural studies (to understand modern society and diverse sub-groups).
• Historically and contemporaneously, what are the ways that researchers and research teams evaluate imagery and multimedia?
• How are imagery and multimedia created or sourced for research?
• What theoretical frameworks apply to the analysis of imagery and multimedia, and how are they applied in various research contexts?
• What are methods for creating analytical approaches to evaluating imagery and multimedia in research contexts?
• What are some methods for validating / invalidating approaches to coding imagery and multimedia for research purposes?
• What are manual, semi-automated, and automated data analytics methods applied to heterogeneous digital data?
• What are some effective software tools for coding and analyzing imagery and multimedia? What are some effective techniques for deploying these software tools?
• What are some effective codebooks for analyzing imagery? Codebooks for analyzing multimedia? Codebooks for analyzing mixed data?
• What are some methods for analyzing imagery and multimedia from respective content-sharing-based social media platforms, like Flickr, Instagram, YouTube, Vimeo, and others?
• What are some real-world research cases that have employed the analysis of imagery and multimedia? What methods were used, and what was discovered?
The purpose of Techniques for Coding Imagery and Multimedia for Research Purposes is to bring together researchers who engage with image and multimedia datasets in order to understand their methods for capturing insights and learning from such heterogeneous digital (and digitized) data. It is hoped that contributors will engage issues of their (transferable) research approaches, analytical techniques, applications of technologies, and research discoveries.
The target audience for this text include researchers, academics, graduate students, and professionals—who engage in analytics involving imagery and multimedia. From this perspective, all chapters should be derived from firsthand research experiences. The work should be described with precision and accuracy, and the methods should be transferable to other research contexts.
Theoretical frameworks for coding digital multimedia for analytics
Various ethics of data extraction and analysis from digital multimedia
Sourcing imagery and multimedia for research
Object-category-based coding and analysis:
Image coding and analysis
Audio coding and analysis
Video coding and analysis
Game coding and analysis
Simulation coding and analysis
Mixed objects coding and analysis
Manual coding of digital multimedia
Mixed human-machine-based techniques for coding digital multimedia
Machine-based techniques and technologies for coding digital multimedia
Software tools for coding and analyzing imagery and multimedia
Methods for creating analytical approaches to evaluating imagery and multimedia in research contexts
Methods for validating / invalidating approaches to coding imagery and multimedia
Analysis of contents from various social media platforms (Facebook, Flickr, Twitter, Instagram, Wikipedia, YouTube, and others)
Real-world research-based cases involving the systematic analysis of imagery and multimedia
Codebooks for imagery data annotation and analysis
Codebooks for game data annotation and analysis
Codebooks for slideshow data annotation and analysis
Codebooks for simulation data annotation and analysis
Codebooks for multimedia data annotation and analysis
Codebooks for mixed media data annotation and analysis
Image analytics in various fields (cultural analysis, health, security, geography, and others)
Multimedia analytics in various fields (cultural analysis, health, security, geography, and others)
Note: The above are only initial ideas. Other approaches are very much welcome.
Submitting a Chapter Proposal
Researchers are invited to submit a chapter proposal before January 30, 2015, through the IGI-Global book system.
If there are any questions, please contact Dr. Shalin Hai-Jew at email@example.com. Thank you for your interest.
Proposal Submission Deadline: January 30, 2016
Full Chapter Submission: May 30, 2016
Review Process: May 30 – July 15, 2016
Review Results to Chapter Authors: July 30, 2016
Revised Chapter Submission from Chapter Authors: August 30, 2016
Final Acceptance Notifications to Chapter Authors: September 15, 2016
Submission of Final Chapters to Editor: September 30, 2016
For chapter guidelines, please propose a chapter through the IGI-Global book system.
All draft chapters will be sent through at least two double-blind peer reviews… The chapter review process is a constructive and supportive one.