A review on content-based image retrieval system: Present trends and future challenges
The issues of getting similar images with better accuracy is now a challenge in content-
based image retrieval (CBIR) system due to exponential rising volume of image databases …
based image retrieval (CBIR) system due to exponential rising volume of image databases …
A new matching strategy for content based image retrieval system
ME ElAlami - Applied Soft Computing, 2014 - Elsevier
Adopting effective model to access the desired images is essential nowadays with the
presence of a huge amount of digital images. The present paper introduces an accurate and …
presence of a huge amount of digital images. The present paper introduces an accurate and …
[HTML][HTML] The 'when'and 'where'of semantic coding in the anterior temporal lobe: Temporal representational similarity analysis of electrocorticogram data
Y Chen, A Shimotake, R Matsumoto, T Kunieda… - Cortex, 2016 - Elsevier
Electrocorticograms (ECoG) provide a unique opportunity to monitor neural activity directly
at the cortical surface. Ten patients with subdural electrodes covering ventral and lateral …
at the cortical surface. Ten patients with subdural electrodes covering ventral and lateral …
In the wild image retrieval and clustering for 3D cultural heritage landmarks reconstruction
One of the main characteristics of Internet era is the free and online availability of extremely
large collections of images located on distributed and heterogeneous platforms over the …
large collections of images located on distributed and heterogeneous platforms over the …
Local oppugnant color texture pattern for image retrieval system
IJ Jacob, KG Srinivasagan, K Jayapriya - Pattern Recognition Letters, 2014 - Elsevier
The current scenario of image retrieval pays attention to local texture patterns. The recently
proposed Local Tetra Pattern (LTrP) represents the image by the directional information and …
proposed Local Tetra Pattern (LTrP) represents the image by the directional information and …
[PDF][PDF] Image retrieval using fractional coefficients of transformed image using DCT and Walsh transform
HB Kekre, SD Thepade, A Maloo - International Journal of Engineering …, 2010 - Citeseer
The paper presents innovative content based image retrieval (CBIR) techniques based on
feature vectors as fractional coefficients of transformed images using DCT and Walsh …
feature vectors as fractional coefficients of transformed images using DCT and Walsh …
Automatic 3d modeling and reconstruction of cultural heritage sites from twitter images
This paper presents an approach for leveraging the abundance of images posted on social
media like Twitter for large scale 3D reconstruction of cultural heritage landmarks. Twitter …
media like Twitter for large scale 3D reconstruction of cultural heritage landmarks. Twitter …
A content-based image retrieval method based on the google cloud vision api and wordnet
SH Chen, YH Chen - Intelligent Information and Database Systems: 9th …, 2017 - Springer
Abstract Content-Based Image Retrieval (CBIR) method analyzes the content of an image
and extracts the features to describe images, also called the image annotations (or called …
and extracts the features to describe images, also called the image annotations (or called …
[PDF][PDF] Image retrieval with shape features extracted using gradient operators and slope magnitude technique with BTC
The paper discusses novel image retrieval methods based on shape features extracted
using gradient operators and slope magnitude technique with Block Truncation Coding …
using gradient operators and slope magnitude technique with Block Truncation Coding …
[PDF][PDF] Comprehensive performance comparison of Cosine, Walsh, Haar, Kekre, Sine, slant and Hartley transforms for CBIR with fractional coefficients of transformed …
HB Kekre, SD Thepade, A Maloo - International Journal of Image …, 2011 - Citeseer
The desire of better and faster retrieval techniques has always fuelled to the research in
content based image retrieval (CBIR). The extended comparison of innovative content …
content based image retrieval (CBIR). The extended comparison of innovative content …