Name
Abstract | ||
|---|---|---|
Nowadays there are many types of display devices with different resolutions and device adaptation is a great challenge in networking. This requires a powerful method for fast resize of images with acceptable quality. Amongst all available methods, such as cropping or scaling, Seam Carving (SC) is a simple and efficient content aware image resizing technique. This technique is inherently a sequential process, which translates into long execution time. In this paper we improve SC by proposing a trellis-based method that finds and removes multiple non-conflicting seams. Better preservation of visually important contents of an image is also achieved by using a new saliency measure called noticeability map. Experiments showed that this approach is up to 13.8 times faster than the original SC, while the produced images are of the same or better visual quality comparing to the original SC or similar methods. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICMEW.2013.6618424 | ICME Workshops |
Keywords | Field | DocType |
content aware image resizing technique,saliency measure,noticeability map,display devices,image resolution,networking,image cropping,trellis-based method,resizing,trellis,noticeability,seam conflicts,seam carving,device adaptation,nonconflicting seams,sc,visual quality,image scaling,mathematical model,visualization,acceleration,dynamic programming | Computer vision,Resizing,Computer graphics (images),Computer science,Salience (neuroscience),Seam carving,Display device,Execution time,Artificial intelligence,Scaling,Image resolution | Conference |
ISSN | Citations | PageRank |
2330-7927 | 0 | 0.34 |
References | Authors | |
6 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ali Ajorian | 1 | 0 | 0.34 |
| Shadrokh Samavi | 2 | 233 | 38.99 |
| Majid Mohrekesh | 3 | 10 | 2.91 |
| Shahram Shirani | 4 | 250 | 37.41 |