On effects of visual query complexity
As an effective technique to manage large scale image collections, content-based image retrieval (CBIR) has been received great attentions and became a very active research domain in recent years. While assessing system performance is one of the key factors for the related technological advancement,...
Saved in:
Main Authors: | SHEN, Jialie, CHENG ZHIYONG |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2013
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/3536 https://ink.library.smu.edu.sg/context/sis_research/article/4537/viewcontent/EffectsVisualQueryComplexity_2011.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
The Effects of Multiple Query Evidences on Social Image Retrieval
by: CHENG, Zhiyong, et al.
Published: (2016) -
On very large scale test collection for landmark image search benchmarking
by: CHENG, Zhiyong, et al.
Published: (2016) -
Improving Query Effectiveness for Large Image Databases with Multiple Visual Feature Combination
by: SHEN, Jialie, et al.
Published: (2004) -
An Empirical Study of Query Effectiveness Improvement via Multiple Visual Feature Integration
by: SHEN, Jialie, et al.
Published: (2007) -
The effects of conceptual and logical interfaces on visual query performance of end users
by: SIAU, Keng, et al.
Published: (1995)