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Query by Sketch for Trademark Image Retrieval
| Content Provider | Semantic Scholar |
|---|---|
| Author | Shuang, Liang |
| Copyright Year | 2008 |
| Abstract | Despite over a decade of research into content-base d image retrieval (CBIR), the task of finding a desired image in a large collection remains problem atic. Even in application areas where there is a clear need for effective image retrieval, such as medical diagnosis and trademark registration, current technology fails to meet user needs. Much e xisting research has concentrated on retrieval techniques for natural images (typically photograph s of natural scenes or objects), using various combinations of extracted colour, texture and layou t feature [VT01]. Techniques for the retrieval of figurative images, a class of artificially-produ ced images which includes icons, trademarks, coats of arms, and clip-art images, have received l ess attention, even though there is evidence, e.g. [WLMGDN96], that these images require differen t t chniques for effective retrieval. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://profi.cs.uu.nl/publications/TR-Liang.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
