Special Issue
Submission Closed
Content-based Image Retrieval and Machine Learning
View Published Articles →01About This Special Issue
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 Its mission is to promote the research in the theory and applications of CV&PR.Our issue accepts original and unpublished papers, including but not limited to the following topics: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.
02Meet the Guest Editors
Our distinguished editors bring deep subject-matter expertise to curate high-quality research and ensure a rigorous peer-review process.
Lead Guest Editor
Junyi Li
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
03Published Articles
The following articles have been published in this special issue.
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The Operation of the Cross-Border e-commerce Logistics in China
Issue: Volume 4, Issue 2-2, March 2015Pages: 15-18Received: 9 February 2015Accepted: 10 February 2015Published: 10 June 2015DOI: 10.11648/j.ijiis.s.2015040202.14Downloads:Views:Abstract: According to the cross-border e-commerce background, the article is analyzed its operation on the cross-border e-commerce logistics in china. Firstly, this paper illustrates the operation characteristics of cross-border e-commerce logistics, then analyzes some aspects of the cross-border e-commerce logistics, like operations, logistics cost managem... Show More -
APLSSVM: Hybrid Entropy Models for Image Retrieval
Issue: Volume 4, Issue 2-2, March 2015Pages: 9-14Received: 8 November 2014Accepted: 12 November 2014Published: 5 May 2015DOI: 10.11648/j.ijiis.s.2015040202.13Downloads:Views:Abstract: Aiming at properties of remote sensing image data such as high-dimension, nonlinearity and massive unlabeled samples, a kind of probability least squares support vector machine (PLSSVM) classification method based on hybrid entropy and L1 norm was proposed. Firstly, hybrid entropy was designed by combining quasi-entropy with entropy difference, whi... Show More -
A User Interest Model Based on the Analysis of User Behaviors
Issue: Volume 4, Issue 2-2, March 2015Pages: 5-8Received: 7 January 2015Accepted: 10 January 2015Published: 13 February 2015DOI: 10.11648/j.ijiis.s.2015040202.12Downloads:Views:Abstract: Understanding the users' interest is the base for the industralization of website. In order to provide individualized service better for the users, on the basis of analyzing the users' browse behavioral characteristics and according to the users' retention time in the page, and users' click frequency to the hyperlink and page, a model of computer u... Show More -
Sparse Spectral Hashing for Content-Based Image Retrieval
Issue: Volume 4, Issue 2-2, March 2015Pages: 1-4Received: 7 January 2015Accepted: 10 January 2015Published: 13 February 2015DOI: 10.11648/j.ijiis.s.2015040202.11Downloads:Views:Abstract: In allusion to similarity calculation difficulty caused by high maintenance of image data, this paper introduces sparse principal component algorithm to figure out embedded subspace after dimensionality reduction of image visual words on the basis of traditional spectral hashing image index method so that image high-dimension index results can be e... Show More
