Home / Journals International Journal of Intelligent Information Systems / Content-based Image Retrieval and Machine Learning
Content-based Image Retrieval and Machine Learning
Submission Deadline: Feb. 10, 2015

This special issue currently is open for paper submission and guest editor application.

Join as Guest Editor Submit to Special Issue
Lead Guest Editor
School of Electronic Information and Electrical engineering, Shanghai Jiaotong University, Shanghai, China
Guest Editor
  • Ren Siwei
    School of Electronic Information and Electrical engineering, Shanghai Jiao Tong University, Shanghai, China
Guidelines for Submission
Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.
Papers should be formatted according to the guidelines for authors (see: http://www.sciencepublishinggroup.com/journal/guideforauthors?journalid=135). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.
Published Papers
1
Authors: Li Jun-yi, Li Jian-hua
Pages: 1-4 Published Online: Feb. 13, 2015
DOI:
Views 2595 Downloads 140
2
Authors: Zhu Jinghua
Pages: 5-8 Published Online: Feb. 13, 2015
DOI:
Views 2702 Downloads 93
3
Authors: Li Jun-yi, Li Jian-hua, Zhu Jin-hua, Chen Xiao-hui
Pages: 9-14 Published Online: May 5, 2015
DOI:
Views 3580 Downloads 64
4
Authors: Xiaojun Liu, Dongyan Chen, Jieshan Cai
Pages: 15-18 Published Online: Jun. 10, 2015
DOI:
Views 12050 Downloads 181
Introduction
Our issue is based on published online open access journal IJIIS aiming to cover the recent advances of computer vision and pattern recognition research fields (CV&PR) in image retrieval and machine learning. Its mission is to promote the research in the theory and applications of CV&PR.

Our issue accepts original and unpublished papers, including but not limited to the following topics:

1. Feature extraction
2. 2D/3D detection, categorization and recognition
3. Scene understanding and reconstruction
4. Shape analysis, representation and matching
5. Visual Sensors
6. Active vision
7. Affective computing
8. Face, gesture and facial expression recognition
9. Biometrics
10. Motion, tracking and video analysis
11. Illumination and reflectance modeling
12. Invariance analysis
13. Action recognition
14. Feature selection
15. Dimensionality reduction
16. Performance evaluation
17. Low level vision
18. Applications of computer vision
19. Stereo vision
20. Classification and clustering
21. Medical image analysis
22. Shading and matting
23. Segmentation and texture
24. Depth analysis and extraction
25. Physics-based vision
26. Cognitive and embodied vision
27. Computational photography
28. Color analysis
29. Deep Learning
30. Active and ensembe learning
31. Human computer interaction
32. Surveillance and security
33. Image and video retrieval, annotation, indexing
34. Datasets construction and analysis
35. Software tools, libraries and toolboxes
36. Applications of pattern recognition

The authors are encouraged to submit review, survey and performance evaluation papers.
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