Image Retrieval Method Using Top-surf Descriptor
Ye Ji

TL;DR
This paper explores a content-based image retrieval method utilizing the Top-surf descriptor, demonstrating preliminary results that indicate its ability to identify objects from parts or similar objects within a diverse image dataset.
Contribution
It introduces a Top-surf descriptor-based approach for image retrieval and provides initial experimental results on a multi-category dataset.
Findings
Best results obtained in the building category
Shows capability of deducing objects from parts or similar objects
Preliminary experimental results support the method's potential
Abstract
This report presents the results and details of a content-based image retrieval project using the Top-surf descriptor. The experimental results are preliminary, however, it shows the capability of deducing objects from parts of the objects or from the objects that are similar. This paper uses a dataset consisting of 1200 images of which 800 images are equally divided into 8 categories, namely airplane, beach, motorbike, forest, elephants, horses, bus and building, while the other 400 images are randomly picked from the Internet. The best results achieved are from building category.
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Taxonomy
TopicsAdvanced Image and Video Retrieval Techniques · Image Retrieval and Classification Techniques · Robotics and Sensor-Based Localization
