Abstract Images Have Different Levels of Retrievability Per Reverse Image Search Engine.
Shawn M. JonesDiane OyenPublished in: ECCV Workshops (8) (2022)
Keyphrases
- input image
- image data
- image features
- image collections
- test images
- image retrieval
- original images
- image classification
- image pixels
- image analysis
- image regions
- search engine
- high contrast
- image set
- pixel values
- image content
- image dataset
- image processing algorithms
- sample images
- intensity values
- edge detection
- image noise
- segmentation method
- imaging process
- grey level
- lighting conditions
- gray value
- pixel wise
- reference images
- region of interest
- image matching
- satellite images
- image database
- feature points
- ccd camera
- extracted from images
- web images
- pixel level
- normalized correlation
- gray level images
- natural images
- digital imaging
- image structure
- illumination conditions
- image statistics
- relevant images
- pixel intensities
- gray level
- aerial images
- image representation
- segmentation algorithm
- contrast enhancement
- keypoints
- image search
- image blocks
- spatial information
- false matches
- image processing
- degraded images
- segmented images
- bounding box
- visual features
- low level
- object recognition
- multiscale
- gaussian noise
- face images
- image registration
- web image search
- image segmentation
- synthesized images
- geometric distortions
- color histogram
- image annotation