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MTAP Special Issue on CBIR 2022 : Special Issue on Content-Based Image Retrieval: where have we been, and where are we going

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Link: https://www.springer.com/journal/11042/updates/19896530
 
When N/A
Where N/A
Submission Deadline Jul 1, 2022
Categories    image analysis   image retrieval   deep learning   pattern recognition
 

Call For Papers

Special Issue on “Content-Based Image Retrieval: where have we been, and where are we going” [1227]
https://www.springer.com/journal/11042/updates/19896530

to be published in the journal
Multimedia Tools and Applications
https://springer.com/11042
Editor-in-Chief: Borko Furht
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Overview
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Twenty years ago, in the last year of the XX century, the IEEE Transactions on Pattern Analysis and Machine Intelligence published the paper "Content-based image retrieval at the end of the early years", by A. Smeulders et al. (IEEE TPAMI, 22(12):1349--80, 2000), a much-cited review that collected and analyzed the work on Content-Based Image Retrieval (CBIR) in the 1990s and points out possible directions of research for the (then) foreseeable future.  

Much of that future is now in the past, and many things have changed since then both in technology, in our cultures, and in our societies. Twenty years is a sizable chunk in the life of a person, a significant amount of time in any modern culture, and a very long time in the life of contemporary technology.  We want to take a look at the Content-Based Image Retrieval twenty years after the "early years", what are the recent advancements in the field in the era of Deep Learning, and try to see what the next years will look like.

This Special Issue is focused on every aspect of Content-Based Image Retrieval, from the theoretical aspects to the most recent advances in the field. We are also interested in new methods, reviews, forecasts, applications, and system design for visual search.


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Topics of interest
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Topics of interest include, but are not limited to, the following:
• Content- and context-based indexing, search, and retrieval
• Search and browsing on big image collections
• Advanced descriptors and similarity metrics
• Usage of prior knowledge and semantic information in retrieval systems
• Matching learning for image retrieval
• Learned features
• Query models, and new paradigms
• Multimodal retrieval
• Human/Computer interaction and browsing issues
• Evaluation of Content-Based Image Retrieval systems
• Relevance feedback in the Content-Based Image Retrieval systems
• Application and challenges of Content-Based Image Retrieval to medical images, e-commerce, design, fashion, cultural heritage, personal photo collections, and other specific application domains


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Guest Editors
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Gianluigi Ciocca (lead Guest Editor)
University of Milano-Bicocca, Italy
E-mail: gianluigi.ciocca@unimib.it

Marco Bertini
University of Florence, Italy
E-mail: marco.bertini@unifi.it

Simone Santini
Universidad Autonoma de Madrid, Spain
E-mail: simone.santini@uam.es

Raimondo Schettini
University of Milano-Bicocca, Italy
E-mail: raimondo.schettini@unimib.it

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Important Dates
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Submission deadline: 1 July, 2022

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Submission Guidelines
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Submitted papers should present original, unpublished work, relevant to one of the topics of the Special Issue.  All submitted papers will be evaluated on the basis of relevance, the significance of contribution, technical quality, scholarship, and quality of presentation, by at least three independent reviewers. It is the policy of the journal that no submission, or substantially overlapping submission, be published or be under review at another journal or conference at any time during the review process.

All the papers should be full journal-length versions and follow the guidelines set out by Multimedia Tools and Applications:  http://www.springer.com/journal/11042. Manuscripts should be submitted online at https://www.editorialmanager.com/mtap/ choosing "SI 1227 - Content-based Image Retrieval" as the article type. When uploading your paper, please ensure that your manuscript is marked as being for this special issue.

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