A deep learning approach to detection of splicing and copy-move forgeries in images.
Yuan RaoJiangqun NiPublished in: WIFS (2016)
Keyphrases
- deep learning
- input image
- image database
- segmentation method
- multiple images
- image retrieval
- image classification
- image features
- test images
- image regions
- weakly supervised
- superpixels
- partial occlusion
- image annotation
- data mining
- digital images
- object recognition
- region of interest
- segmentation algorithm
- co occurrence
- target object
- bounding box
- mental models
- probabilistic model