IEEE Computer Graphics and Applications
MPEG-7 Color Descriptors and Their Applications
CAIP '01 Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns
ACM SIGGRAPH 2006 Papers
The MIR flickr retrieval evaluation
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Learning color names for real-world applications
IEEE Transactions on Image Processing
Harmonic colorization using proportion contrast
Proceedings of the 7th International Conference on Computer Graphics, Virtual Reality, Visualisation and Interaction in Africa
Data Mining: Practical Machine Learning Tools and Techniques
Data Mining: Practical Machine Learning Tools and Techniques
Defocus map estimation from a single image
Pattern Recognition
Image annotation for adaptive enhancement of uncalibrated color images
VISUAL'05 Proceedings of the 8th international conference on Visual Information and Information Systems
Joint statistical analysis of images and keywords with applications in semantic image enhancement
Proceedings of the 20th ACM international conference on Multimedia
| Hi-index | 0.00 |
This thesis aims at developing methods to make digital devices more automatic and intuitive while focusing on image-related applications. We learn associations between image characteristics and keywords with a statistical framework based on large databases of annotated images. Such associations are widely exploitable and we demonstrate two main applications: semantic image enhancement and automatic color naming. Both applications show convincing results and suggest that the framework can be extended to other areas.