Transferring color to greyscale images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
IEEE Computer Graphics and Applications
Affine-Invariant Local Descriptors and Neighborhood Statistics for Texture Recognition
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Colorization using optimization
ACM SIGGRAPH 2004 Papers
An adaptive edge detection based colorization algorithm and its applications
Proceedings of the 13th annual ACM international conference on Multimedia
ACM SIGGRAPH 2006 Papers
Interactive local adjustment of tonal values
ACM SIGGRAPH 2006 Papers
Hownet And the Computation of Meaning
Hownet And the Computation of Meaning
Color Design for Illustrative Visualization
IEEE Transactions on Visualization and Computer Graphics
Efficient affinity-based edit propagation using K-D tree
ACM SIGGRAPH Asia 2009 papers
Sketch2Photo: internet image montage
ACM SIGGRAPH Asia 2009 papers
Affective prediction in photographic images using probabilistic affective model
Proceedings of the ACM International Conference on Image and Video Retrieval
Data-driven image color theme enhancement
ACM SIGGRAPH Asia 2010 papers
Affective image classification using features inspired by psychology and art theory
Proceedings of the international conference on Multimedia
Learning to Detect a Salient Object
IEEE Transactions on Pattern Analysis and Machine Intelligence
Color compatibility from large datasets
ACM SIGGRAPH 2011 papers
Example-based image color and tone style enhancement
ACM SIGGRAPH 2011 papers
Arcimboldo-like collage using internet images
Proceedings of the 2011 SIGGRAPH Asia Conference
Semantic colorization with internet images
Proceedings of the 2011 SIGGRAPH Asia Conference
Global contrast based salient region detection
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
PoseShop: Human Image Database Construction and Personalized Content Synthesis
IEEE Transactions on Visualization and Computer Graphics
| Hi-index | 0.00 |
We present a complete system that automatically adjusts image color to meet a desired emotion. It will be more convenient for users, especially for non-professional users, to adjust an image with a semantic user input, for example, to make it lovelier. The whole algorithm is fully automatic, without any user interactions, and the inputs are simply the original image and an affective word (e.g. lovely). To achieve this goal, we solve several non-trivial problems. First, in order to find the proper color themes (template of colors) to reflect the expression of the affective word, we exploit the theoretical and empirical concepts in famous art theories and build a color theme--affective word relation model allowing efficient selection of candidate themes. Furthermore, we propose a novel strategy to select the most suitable color theme among the candidates. Second, to adjust image colors, we propose the Radial Basis Functions (RBF) based interpolation method, which is more effective in many scenarios as evidenced in experiments. We also evaluate the system with comprehensive user studies and its capability is confirmed by the results.