Name
Abstract | ||
|---|---|---|
This letter presents an image to video adaptation system that transmodes images in order to be viewed on small displays without a significant loss of information. The followed approach is to automate the process of manual browsing and zooming through an image by simulating the movement of a virtual camera. The presented system proposes two modules: one for analysis (ROI Extraction: for defining the regions of interest (ROIs) in the image) and the second for transmoding (ROIs2Video: for creating a video from any predefined list of relevance annotated ROIs). The separation of the image analysis and transmoding steps allows to use the ROIs2Video module in different application domains, as the transmoding will only be driven by the available relevance values associated to the ROIs. Results are presented for automatic and manual ROI generation modules. User evaluation results show that the developed system offers a visually attractive solution. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/TCSVT.2009.2031394 | IEEE Trans. Circuits Syst. Video Techn. |
Keywords | Field | DocType |
transmoding step,visual tool,available relevance,roi extraction,roi montage,transmodes image,image2video application,developed system,relevance annotated rois,video adaptation system,manual roi generation module,image analysis,rois2video module,region of interest,quality of service,displays,feature extraction,data mining,mobile computing | Mobile computing,Computer vision,Computer graphics (images),Computer science,Virtual camera,Quality of service,Zoom,Feature extraction,Visual tool,Artificial intelligence,Region of interest,Content adaptation | Journal |
Volume | Issue | ISSN |
19 | 12 | 1051-8215 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fernando Barreiro Megino | 1 | 3 | 0.82 |
| Jose Martinez | 2 | 224 | 23.89 |
| Víctor Valdés | 3 | 64 | 8.30 |