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Novel gabor-PHOG features for object and scene image classification
Atreyee Sinha
, Sugata Banerji
,
Chengjun Liu
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
3
Scopus citations
Overview
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Dive into the research topics of 'Novel gabor-PHOG features for object and scene image classification'. Together they form a unique fingerprint.
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Keyphrases
Image Scene Classification
100%
Pyramid Histogram of Oriented Gradients
100%
Histogram of Oriented Gradient Feature
100%
Gabor
100%
Feature Vector
25%
PHOG Descriptor
25%
Image Classification
25%
YCbCr
25%
PHOG Feature
25%
Grand Challenges
12%
Feature Extraction
12%
Enhanced Fisher Model
12%
Color Space
12%
Classification Rules
12%
Caltech-256
12%
Image Search
12%
Image Retrieval
12%
Classification Performance
12%
Nearest Neighbor Classification
12%
Image Category
12%
YIQ Color Space
12%
Filtered Images
12%
Histogram of Oriented Gradient Descriptor
12%
PCA Features
12%
Discriminatory Features
12%
Image Feature Extraction
12%
Scene Image
12%
Computer Science
histogram of oriented gradient
100%
Scene Image Classification
100%
Feature Extraction
66%
Image Classification
66%
Feature Vector
66%
Grand Challenge
33%
Classification Rule
33%
Image Search
33%
image feature
33%
Image Retrieval
33%
near neighbor classification
33%
Classification Performance
33%
Engineering
Image Classification
100%
Histogram
100%
Feature Extraction
50%
Color Space
50%
Feature Vector
50%
Classification Performance
25%
Nearest Neighbor
25%
Filtered Image
25%
Classification Rule
25%