Name
Title | ||
|---|---|---|
Image Retargeting for Preserving Robust Local Feature: Application to Mobile Visual Search |
Abstract | ||
|---|---|---|
With the sharp increasing of mobile devices, conducting search on mobile devices becomes pervasive, and one of the most popular applications is mobile visual search. To achieve low bit-rate visual search, most of the existing works focus on addressing local descriptor coding and BoW histogram compression . In this paper, we extend the concept of image retargeting and propose a new image resizing approach that is devoted to preserving the robust local features in the query image while resizing it. Based on the extended concept, we introduce a novel mobile-visual-search scheme that conducts the proposed approach to reduce the size of the query image for achieving low bit-rate visual search. Extensive experiments on Oxford 5 K and Flickr 100k datasets show that our approach obtains superior retrieval performance than state-of-the-art image resizing approaches at the similar query size; meanwhile, it is cost effective in terms of processing time. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TMM.2015.2500727 | Multimedia, IEEE Transactions |
Keywords | Field | DocType |
Visualization,Mobile handsets,Image coding,Histograms,Mobile communication,Encoding,Image retrieval | Visual search,Computer vision,Histogram,Automatic image annotation,Feature detection (computer vision),Computer science,Seam carving,Image retrieval,Artificial intelligence,Mobile telephony,Visual Word | Journal |
Volume | Issue | ISSN |
18 | 1 | 1520-9210 |
Citations | PageRank | References |
10 | 0.48 | 33 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weimin Tan | 1 | 36 | 11.76 |
| Yan, B. | 2 | 10 | 0.48 |
| Ke Li | 3 | 36 | 8.23 |
| Qi Tian | 4 | 6443 | 331.75 |