Visual Vocabulary Learning and Its Application to 3D and Mobile Visual Search
Liujuan Cao
TL;DR
This paper reviews recent advances in visual vocabulary techniques for web image search, object recognition, mobile visual search, and 3D object retrieval, emphasizing vocabulary optimization and multi-view 3D representations.
Contribution
It provides a comprehensive overview of recent trends and methods in visual vocabulary learning, including supervised and unsupervised optimization and compact descriptors.
Findings
Summarizes recent trends in visual vocabulary research.
Highlights advances in multi-view 3D object representation.
Discusses improvements in compact visual descriptors.
Abstract
In this technical report, we review related works and recent trends in visual vocabulary based web image search, object recognition, mobile visual search, and 3D object retrieval. Especial focuses would be also given for the recent trends in supervised/unsupervised vocabulary optimization, compact descriptor for visual search, as well as in multi-view based 3D object representation.
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Taxonomy
TopicsAdvanced Image and Video Retrieval Techniques · Image Retrieval and Classification Techniques · Multimodal Machine Learning Applications