On very large scale test collection for landmark image search benchmarking
High quality test collections have been becoming more and more important for the technological advancement in geo-referenced image retrieval and analytics. In this paper, we present a large scale test collection to support robust performance evaluation of landmark image search and corresponding cons...
Saved in:
Main Authors: | CHENG, Zhiyong, SHEN, Jialie |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2016
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/3532 https://ink.library.smu.edu.sg/context/sis_research/article/4533/viewcontent/LargeScaleTextLandmarkImageSearch_2017.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Building a Large Scale Test Collection for Effective Benchmarking of Mobile Landmark Search
by: CHENG, Zhiyong, et al.
Published: (2013) -
Content-Based Visual Landmark Search via Multimodal Hypergraph Learning
by: ZHU, Lei, et al.
Published: (2015) -
Tour the world: A technical demonstration of a web-scale landmark recognition engine
by: Zheng, Y.-T., et al.
Published: (2013) -
Building descriptive and discriminative visual codebook for large-scale image applications
by: Tian, Q., et al.
Published: (2016) -
Chimera: Large-scale Data Collection and Processing
by: GONG JIAN
Published: (2011)