Open access peer-reviewed Edited Volume

Multimedia Information Retrieval

Eduardo Quevedo

University of Las Palmas de Gran Canaria


Information-Retrieval Metadata Content-Based Image Content-Based Video Audio Music Video Browsing Skimming Bionformatics Biosignal Social Interaction Collaborative Filtering

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About the book

Considering the increasing globalization in the world and the explosion of media available on the Internet, computer techniques to organize, classify and find desired media are becoming more and more relevant. In order to extract semantic information from multimedia data sources, the technique of Multimedia Information Retrieval (MMIR or MIR) has progressed over the years. Multimedia Information Retrieval is a very broad area covering both structural issues and intelligent content analysis and retrieval. These aspects must be integrated into a seamless whole which involves expertise from a wide variety of fields. In this context, the latest advances in the field include aspects related to bionformation analysis and social media interaction; although this technique has been usually applied to text, audio, image, and video.

In this book, recent applications of Multimedia Information Retrieval are presented based on summarization, filtering and categorization methods, among others. Therefore, this book aims at showing Multimedia Information Retrieval cutting-edge scenarios.

Publishing process

Book initiated and editor appointed

Date completed: April 22nd 2020

Applications to edit the book are assessed and a suitable editor is selected, at which point the process begins.

Chapter proposals submitted and reviewed

Deadline Extended: Open for Submissions

Potential authors submit chapter proposals ready for review by the academic editor and our publishing review team.

Approved chapters written in full and submitted

Deadline for full chapters: July 12th 2020

Once approved by the academic editor and publishing review team, chapters are written and submitted according to pre-agreed parameters

Full chapters peer reviewed

Review results due: September 30th 2020

Full chapter manuscripts are screened for plagiarism and undergo a Main Editor Peer Review. Results are sent to authors within 30 days of submission, with suggestions for rounds of revisions.

Book compiled, published and promoted

Expected publication date: November 29th 2020

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About the editor

Eduardo Quevedo

University of Las Palmas de Gran Canaria

Eduardo Quevedo is Ph.D. Assistant Professor at the University of Las Palmas de Gran Canaria (ULPGC) in the area of Biostatistics and Research Methodology at the Mathematics Department. Eduardo received his PhD from the Institute for Applied Microelectronics (IUMA) at the University of Las Palmas de Gran Canaria (ULPGC) in 2015, being awarded in the ULPGC Outstanding Doctoral Thesis Awards in 2016. He holds a degree in Communications Engineering (2007) and a degree in Electronics Engineering (2009) from the ULPGC and was granted with a national award to the best Master Thesis in the Official National Telecommunications Engineering Association annual awards (2008). His research interests are in the areas of image and video enhancement and their related statistics in a wide range of applications. Eduardo has combined his professional career among private sector, public sector and at the university, working for four years as a Technical Project Manager for the installation of Air Traffic Control systems in the company Indra (2007-11), from 2011 to 2015 as a Project Manager (PRINCE2® Practitioner accredited, MSP® Foundation accredited and ITIL 2011® accredited), and from 2016 to 2018 as a Dissemination and Training Coordinator at the Oceanic Platform of the Canary Islands (PLOCAN) and Anova IT Consulting, an SME. Moreover, he has also worked as an Associate Professor at the ULPGC from 2015 to 2019.

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