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Special Issue "Deep Learning for Image and Video Understanding"
A special issue of Algorithms (ISSN 1999-4893).
Deadline for manuscript submissions: closed (31 March 2019).
Comically trivial tasks, such as recognizing a handwritten digit in images, become dauntingly difficult when we try to automate them by writing a computer program. However, thanks to artificial neural networks, especially deep learning, we have found a solution to this problem. Such methods can learn to model such complex problems as a layered representation of simple concepts, directly from data, without requiring any hand-crafted features or hard-coded knowledge from experts.
Deep learning methods are therefore being employed on a large scale to solve computer vision problems. We invite you to submit your latest research in the area of deep learning and computer vision to this Special Issue, “Deep Learning for Image and Video Understanding.” We are looking for new and innovative deep learning approaches to solving problems such as object detection, segmentation, recognition, tracking, action recognition, etc.
High-quality papers are solicited to address both theoretical and practical issues of deep learning algorithms. Submissions are welcome both for traditional computer vision problems, as well as new applications. Potential topics include, but are not limited to:
- K-shot learning for image and video understanding
- Open set recognition for image and video understanding
- Small-data learning for image and video understanding
- Hierarchical and ensemble learning for image and video understanding
- Data augmentation and transfer learning for image and video understanding
- Semantic segmentation
- Representation learning, feature detection and description for image and video understanding
- Scene modeling and reconstruction
- Scene understanding
- Object detection, recognition and classification
- Object pose estimation and tracking for image and video understanding
- Person detection, tracking and identification for image and video understanding
- Action and activity recognition for image and video understanding
- Video annotation
Prof. Adil Mehmood Khan
Prof. Adín Ramírez Rivera
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 papers will be 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 100 words) can be sent to the Editorial Office for announcement on this website.
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. Algorithms 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 1000 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.
- Deep learning
- computer vision
- image processing