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http://hdl.handle.net/1893/31892| Appears in Collections: | Computing Science and Mathematics Conference Papers and Proceedings |
| Author(s): | Companioni-Brito, Claudia Elawady, Mohamed Yildirim, Sule Hardeberg, Jon Yngve |
| Title: | Editorial Image Retrieval Using Handcrafted and CNN Features |
| Editor(s): | Mansouri, Alamin El Moataz, Abderrahim Nouboud, Fathallah Mammass, Driss |
| Citation: | Companioni-Brito C, Elawady M, Yildirim S & Hardeberg JY (2018) Editorial Image Retrieval Using Handcrafted and CNN Features. In: Mansouri A, El Moataz A, Nouboud F & Mammass D (eds.) Image and Signal Processing. Lecture Notes in Computer Science, 10884. ICISP 2018: International Conference on Image and Signal Processing, Cherbourg, France, 02.07.2018-04.07.2018. Cham, Switzerland: Springer International Publishing, pp. 284-291. https://doi.org/10.1007/978-3-319-94211-7_31 |
| Issue Date: | 2018 |
| Date Deposited: | 2-Nov-2020 |
| Series/Report no.: | Lecture Notes in Computer Science, 10884 |
| Conference Name: | ICISP 2018: International Conference on Image and Signal Processing |
| Conference Dates: | 2018-07-02 - 2018-07-04 |
| Conference Location: | Cherbourg, France |
| Abstract: | Textual keywords have been used in the early stages for image retrieval systems. Due to the huge increase of image content, an image is efficiently used instead according to the time computation. Deciding powerful feature representations are the important factors for the retrieval performance of a content-based image retrieval (CBIR) system. In this work, we present a combined feature representation based on handcrafted and deep approaches, to categorize editorial images into six classes (athletics, football, indoor, outdoor, portrait, ski). The experimental results show the superior performance of the combined features among different editorial classes. |
| Status: | AM - Accepted Manuscript VoR - Version of Record |
| Rights: | [Chapter-2018.pdf] The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. [Accepted_Version.pdf] This is a post-peer-review, pre-copyedit version of a paper published in Mansouri A, El Moataz A, Nouboud F & Mammass D (eds.) Image and Signal Processing. Lecture Notes in Computer Science, 10884. ICISP 2018: International Conference on Image and Signal Processing, Cherbourg, France, 02.07.2018-04.07.2018. Cham, Switzerland: Springer International Publishing, pp. 284-291. The final authenticated version is available online at: https://doi.org/10.1007/978-3-319-94211-7_31 |
| Licence URL(s): | https://storre.stir.ac.uk/STORREEndUserLicence.pdf http://www.rioxx.net/licenses/under-embargo-all-rights-reserved |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Accepted_Version.pdf | Fulltext - Accepted Version | 967.69 kB | Adobe PDF | View/Open |
| Chapter-2018.pdf | Fulltext - Published Version | 3.3 MB | Adobe PDF | Under Permanent Embargo Request a copy |
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