Label Prediction Through Multiple Visual Features
Abstract & Details
Research Area
Computer Engineering
Keywords
Multi-feature learning
Multimedia understanding
Semi-supervised learning
Visual recognition
Visual features
Feature extraction
Abstract
Multiple visual features are represented by multimedia data. Multi-feature learning aims at using the complementary structural information of visual features. The focus is on the semi-supervised learning when the label information of the training data is insufficient. Most of the existing systems face the problem of insufficient labelled data that are expensive to label by hand in real-world application. To address this problem classifier has been already proposed in the literature that select features closely similar to the query image and based on these features label prediction is done. This work aims at studying different low level feature descriptor for better feature extraction and toimprovelabelpredictionaccuracyofthesystembyreplacingScaleInvariantFeature Transform(SIFT) descriptor with Oriented FAST and rotated BRIEF(ORB)descriptor.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | DHANASHRI SUBHASH NARKHEDE | K. K. Wagh Institute of Engineering Education & Research, Nashik |
| 2 | JYOTI R. MANKAR | K. K. Wagh Institute of Engineering Education & Research, Nashik |
How to Cite
Use the following formats to cite this article in your research.
APA Style
NARKHEDE, DHANASHRI SUBHASH & MANKAR, JYOTI R. (2017). Label Prediction Through Multiple Visual Features. International Journal of Advance Research and Innovative Ideas In Education, 3(5), 784-795.
MLA Style
NARKHEDE, DHANASHRI SUBHASH, and JYOTI R. MANKAR. "Label Prediction Through Multiple Visual Features." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 5, 2017, pp. 784-795.
IEEE Style
DHANASHRI SUBHASH NARKHEDE and JYOTI R. MANKAR, "Label Prediction Through Multiple Visual Features," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 5, pp. 784-795, 2017.
Vancouver Style
NARKHEDE DHANASHRI SUBHASH, MANKAR JYOTI R.. Label Prediction Through Multiple Visual Features. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(5):784-795.
Harvard Style
NARKHEDE, DHANASHRI SUBHASH & MANKAR, JYOTI R. (2017) 'Label Prediction Through Multiple Visual Features', International Journal of Advance Research and Innovative Ideas In Education, 3(5), pp. 784-795.
Chicago Style
NARKHEDE, DHANASHRI SUBHASH and JYOTI R. MANKAR. "Label Prediction Through Multiple Visual Features." International Journal of Advance Research and Innovative Ideas In Education 3, no. 5 (2017): 784-795.
Turabian Style
NARKHEDE, DHANASHRI SUBHASH and JYOTI R. MANKAR. "Label Prediction Through Multiple Visual Features." International Journal of Advance Research and Innovative Ideas In Education 3, no. 5 (2017): 784-795.
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