Conference proceeding
On Inferring Image Label Information Using Rank Minimization for Supervised Concept Embedding: 17TH SCANDINAVIAN CONFERENCE, SCIA 2011
IMAGE ANALYSIS, v 6688, pp 103-113
01 Jan 2011
Abstract
Concept-based representation — combined with some classifier (e.g., support vector machine) or regression analysis (e.g., linear regression) — induces a popular approach among image processing community, used to infer image labels. We propose a supervised learning procedure to obtain an embedding to a latent concept space with the pre-defined inner product. This learning procedure uses rank minimization of the sought inner product matrix, defined in the original concept space, to find an embedding to a new low dimensional space. The empirical evidence show that the proposed supervised learning method can be used in combination with another computational image embedding procedure, such as bag-of-features method, to significantly improve accuracy of label inference, while producing embedding of low complexity.
Metrics
Details
- Title
- On Inferring Image Label Information Using Rank Minimization for Supervised Concept Embedding
- Creators
- Dmitriy Bespalov - Drexel UniversityAnders Lindbjerg Dahl - Technical University of DenmarkBing Bai - NEC (United States)Ali Shokoufandeh - Drexel University
- Contributors
- A Heyden (Editor)F Kahl (Editor)
- Publication Details
- IMAGE ANALYSIS, v 6688, pp 103-113
- Conference
- 16th Scandinavian Conference on Image Analysis (Ystad, Sweden, 23 May 2011–27 May 2011)
- Series
- Lecture Notes in Computer Science
- Publisher
- Springer Nature
- Number of pages
- 11
- Grant note
- ONRN000140410363 / Office of Naval Research Programme Commission on Health, Food and Welfare. 0803670 / National Science Foundation under the IIS Division 09- 067039 / Centre for Imaging Food Quality project - Danish Council for Strategic Research
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science
- Web of Science ID
- WOS:000308543900010
- Scopus ID
- 2-s2.0-79957470009
- Other Identifier
- 991019170357304721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Theory & Methods
- Radiology, Nuclear Medicine & Medical Imaging