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Gradual improvement...
Gradual improvement of image descriptor quality
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- Afkham, Heydar Maboudi (författare)
- KTH,Genteknologi
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- Ek, Carl Henrik (författare)
- KTH,Datorseende och robotik, CVAP,Computer Vision and Active Perception (CVAP) Lab
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- Carlsson, Stefan (författare)
- KTH,Datorseende och robotik, CVAP
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(creator_code:org_t)
- SCITEPRESS - Science and and Technology Publications, 2014
- 2014
- Engelska.
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Ingår i: ICPRAM 2014 - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods. - : SCITEPRESS - Science and and Technology Publications. - 9789897580185 ; , s. 233-238
- Relaterad länk:
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https://urn.kb.se/re...
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visa fler...
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https://doi.org/10.5...
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Abstract
Ämnesord
Stäng
- In this paper, we propose a framework for gradually improving the quality of an already existing image descriptor. The descriptor used in this paper (Afkham et al., 2013) uses the response of a series of discriminative components for summarizing each image. As we will show, this descriptor has an ideal form in which all categories become linearly separable. While, reaching this form is not feasible, we will argue how by replacing a small fraction of these components, it is possible to obtain a descriptor which is, on average, closer to this ideal form. To do so, we initially identify which components do not contribute to the quality of the descriptor and replace them with more robust components. Here, a joint feature selection method is used to find improved components. As our experiments show, this change directly reflects in the capability of the resulting descriptor in discriminating between different categories.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Medical Image Processing (hsv//eng)
Nyckelord
- Image classification
- Image summarization
- Pattern recognition
- Descriptors
- Discriminative components
- Feature selection methods
- Image Descriptor
- Linearly separable
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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