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Advances in Object-Based Image Segmentation and Retrieval
This special issue belongs to the section “Artificial Intelligence“.
Special Issue Information
Dear Colleagues,
The MDPI journal Information invites submissions to a Special Issue on “Advances in Object-Based Image Segmentation and Retrieval”.
Contributors are invited to submit and present papers in various areas, from concepts to applications. The topics of interest include the latest research results and perspectives for future work in object-based image segmentation and retrieval.
Specifically, this Special Issue seeks novel research reports on the spectrum of AI’s influence on object-based image segmentation and retrieval. The editors welcome submissions on all forms of AI approaches, emphasizing applications of these approaches in real-world settings with thoroughly analyzed research results. This Special Issue aims to offer a platform for researchers from academia and industry to publish recent research findings and discuss opportunities, challenges, and solutions related to the segmentation and retrieval of objects. In particular, this Special Issue solicits original research papers about state-of-the-art approaches, methodologies, insights, and technologies enabling efficiency, theories, and practical applications toward the segmentation and retrieval of objects.
Topics of interest include (but are not limited to):
- Content-based image retrieval
- Detection, recognition, and classification
- Document recognition
- Face detection and recognition
- Image and video retrieval
- Image and video analysis and segmentation
- Image and video labeling and retrieval
- Image segmentation
- Image and video retrieval
- Object segmentation
- Object detection and recognition
- Object and scene recognition
- Object detection, recognition, and categorization
- Object detection and tracking in video
- Pattern analysis and classification
- Pattern recognition and analysis
- Pattern recognition in new modalities
Prof. Dr. Chuen-Horng Lin
Prof. Dr. Yung-Kuan Chan
Dr. Kuan-Hsien Liu
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- deep learning
- object detection
- object recognition
- object segmentation
- image segmentation
- image retrieval
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