Region-based image retrieval in the compressed domain using shape-adaptive DCT
Content-based image retrieval (CBIR) has drawn substantial research and many traditional
CBIR systems search digital images in a large database based on features, such as color …
CBIR systems search digital images in a large database based on features, such as color …
Region-based image retrieval using shape-adaptive DCT
Content-based image retrieval (CBIR) is the process of searching digital images in a large
database based on features, such as color, texture and shape of a given query image. As …
database based on features, such as color, texture and shape of a given query image. As …
Region based image retrieval using shape-adaptive dct
K Belloulata, L Belallouche, A Belalia… - 2014 IEEE China …, 2014 - ieeexplore.ieee.org
Content-Based Image Retrieval (CBIR) is the process of searching digital images in a large
database based on features, such as colour, texture and shape of a given query image. As …
database based on features, such as colour, texture and shape of a given query image. As …
[PDF][PDF] A content-based image retrieval scheme in JPEG compressed domain
ZM Lu, SZ Li, H Burkhardt - International Journal of Innovative …, 2006 - academia.edu
Nowadays, a large number of images are compressed in JPEG (Joint Photographic Experts
Group) format. Therefore, content-based image retrieval (CBIR) for the JPEG images has …
Group) format. Therefore, content-based image retrieval (CBIR) for the JPEG images has …
An introduction to content-based image retrieval
G Schaefer - … on Digital Information Management (ICDIM 2013), 2013 - ieeexplore.ieee.org
Content-based image retrieval (CBIR) extracts features from images to support image
search. In this tutorial paper, we will review some of the basic CBIR algorithms that derive …
search. In this tutorial paper, we will review some of the basic CBIR algorithms that derive …
DCT-domain image retrieval via block-edge-patterns
KJ Qiu, J Jiang, G Xiao, SY Irianto - International Conference Image …, 2006 - Springer
A new algorithm for compressed image retrieval is proposed in this paper based on DCT
block edge patterns. This algorithm directly extract three edge patterns from compressed …
block edge patterns. This algorithm directly extract three edge patterns from compressed …
Effective content-based image retrieval: Combination of quantized histogram texture features in the DCT domain
B Baharudin - 2012 International Conference on Computer & …, 2012 - ieeexplore.ieee.org
Effective Content-Based Image Retrieval (CBIR) is based on efficient low level features
extraction for indexing and on effective query image matching with indexed images for …
extraction for indexing and on effective query image matching with indexed images for …
Deep learning-based image retrieval in the jpeg compressed domain
Content-based image retrieval (CBIR) systems on pixel domain use low-level features, such
as colour, texture and shape, to retrieve images. In this context, two types of image …
as colour, texture and shape, to retrieve images. In this context, two types of image …
Performance comparison of JPEG compressed domain image retrieval techniques
D Edmundson, G Schaefer - 2012 IEEE International …, 2012 - ieeexplore.ieee.org
Although content-based image retrieval (CBIR) has been an active research area for more
than two decades, relatively little work takes into account that virtually all images exist in …
than two decades, relatively little work takes into account that virtually all images exist in …
[PDF][PDF] A general and effective two-stage approach for region-based image retrieval
MJ Hsiao, YP Huang, T Tsai, TW Chiang - Life Science Journal, 2010 - lifesciencesite.com
Content-based image retrieval (CBIR) has received substantial attentions for the past
decades. It is motivated by the rapid accumulation of large collections of digital images …
decades. It is motivated by the rapid accumulation of large collections of digital images …