Call for papers: Modeling and Representation for Big Visual Data
EURASIP Journal on Image and Video Processing welcomes submissions to the thematic series on 'Modeling and Representation for Big Visual Data'.
In recent years, the deluge of visual data explosively aggregates at online information sites in a variety of diverse forms, such as image, video, multiple view, multiple modality, etc. which brings great challenges to the retrieval, analysis and understanding. In practice, many tasks upon such data (e.g., content-based image retrieval, object recognition, etc.) heavily rely on the modeling and representation of the big visual data. In the literature, there exist a large number of studies that have attempted to pursue the efficient model or representation, by introducing techniques like compact feature learning, content analysis, scene understanding, and so on. However, questions and challenges brought by the emerging large-scale visual applications still remain to be answered in this area, and require the intensive and multidisciplinary research. The aim of this special issue is to provide a forum for related researchers to share the most state-of-the-art development in modeling and representation for big visual data, with emphasis on their applications to addressing diverse large-scale visual problems.
Topics of interest include but are not limited to:
- Feature learning for large scale visual understanding
- Hierarchical representation learning via deep learning
- Deep content modelling for images and videos
- Deep hashing for fast image/video retrieval
- Large-scale visual recognition in the wild
- Cross-modal modelling and representation of visual data
- Semantic feature learning for affective computing
- Social media mining and understanding
- Visualization of deep learning networks
- Visualization of virtual/augmented reality big data
- Quality-aware feature learning for visual understanding
- Compact descriptors for mobile applications
Before submitting your manuscript, please ensure you have carefully read the submission guidelines for EURASIP Journal on Image and Video Processing. The complete manuscript should be submitted through the EURASIP Journal on Image and Video Processing submission system. To ensure that you submit to the correct thematic series please select the appropriate special issue in the drop-down menu upon submission. All submissions will undergo rigorous peer review and accepted articles will be published within the journal as a collection.
Deadline for submissions: 30th October 2018
Lead Guest Editor
Leida Li, China University of Mining and Technology, China
Cheng Deng, Xidian University, China
Xianglong Liu, Beihang University, China
Yan Wang, Johns Hopkins University, USA
Hantao Liu, Cardiff University, United Kindom
Submissions will also benefit from the usual advantages of open access publication:
Rapid publication: Online submission, electronic peer review and production make the process of publishing your article simple and efficient
High visibility and international readership in your field: Open access publication ensures high visibility and maximum exposure for your work - anyone with online access can read your article
No space constraints: Publishing online means unlimited space for figures, extensive data and video footage
Authors retain copyright, licensing the article under a Creative Commons license: articles can be freely redistributed and reused as long as the article is correctly attributed
2016 Journal Metrics
50 days from submission to first decision
16 days from acceptance to publication
913.0 Usage Factor
Social Media Impact
Funding your APC
- ISSN: 1687-5281
EURASIP Best paper awards 2017
We are pleased to announce that the following paper published in EURASIP Journal on Image and Video Processing has been awarded a EURASIP best paper award!
CU splitting early termination based on weighted SVM
Xiaolin Shen and Lu Yu
The award ceremony will take place at EUSIPCO 2017 in Greece. For more information see the EURASIP newsletter.