| Presentation | 2013-01-23 Co-segmentation based on Multiple-Instance Learning Jun SAKATA, Toshikazu WADA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Appearance learning of an object represented by a text can be realized by utilizing image retrieval systems on the Internet. This enables us a real-world object search system, which searches real object providing a text representing the object. Images collected by an image retneval system, however, cannot be used for appearance learning, because the object locations and sizes are not uniform among collected images. That is, object localization in each image is required. This prob-lem can be taken as a co-segmentation problem extracting common object among images, and we propose a method based on Multiple-Instance Learning (MIL) framework. Our method consists of two parts, foreground-background modeling and dis-crete optimization to obtain object regions. Foreground-background modeling is to compute Diverse Density (DD) for exces-sively partitioned image regions, where original DD represents similanty among positive features and dissimilarity between negative features. In our method, we slightly modified the DD definition to fit the co-segmentation problem Expenmental results using iCoseg database demonstrates higher accuracy of our method than other methods. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Co-segmentation / iCoseg database / Multiple-Instance Learning / Diverse Density |
| Paper # | PRMU2012-90,MVE2012-55 |
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| Conference Information | |
| Committee | MVE |
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| Conference Date | 2013/1/16(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Vice Chair | |
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| Paper Information | |
| Registration To | Media Experience and Virtual Environment (MVE) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Co-segmentation based on Multiple-Instance Learning |
| Sub Title (in English) | |
| Keyword(1) | Co-segmentation |
| Keyword(2) | iCoseg database |
| Keyword(3) | Multiple-Instance Learning |
| Keyword(4) | Diverse Density |
| 1st Author's Name | Jun SAKATA |
| 1st Author's Affiliation | Graduate School of Systems Engineering, Wakayama University() |
| 2nd Author's Name | Toshikazu WADA |
| 2nd Author's Affiliation | Graduate School of Systems Engineering, Wakayama University |
| Date | 2013-01-23 |
| Paper # | PRMU2012-90,MVE2012-55 |
| Volume (vol) | vol.112 |
| Number (no) | 386 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |