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Labeling data can be a chore. It’s the main source of sustenance for computer-vision models; without it, they’d have a lot of difficulty identifying objects, people, and other important image characte...
Unsupervised texture classification: Automatically discover and classify texture patterns
Unsupervised texture classification NMF PLSI Invariant descriptor
2010/12/17
In this paper, we present a novel approach to classify texture collections. This approach does not require experts to provide annotated training set. Given the image collection, we extract a set of in...
Extracting Story Units in Sports Video Based on Unsupervised Video Scene Clustering
Sports Video Unsupervised Video Scene Clustering
2010/12/16
Many sports videos such as archery, diving and tennis have repetitive structure patterns. They are reliable clues to generate highlights, summarization and automatic annotation.
In this paper, we pre...
Unsupervised Sports Video Scene Clustering and Its Applications to Story Units Detection
Unsupervised Sports Video Scene Clustering Units Detection
2010/12/15
In this paper, we present a new and efficient clustering approach for scene analysis in sports video. This method is generic and does not require any prior domain knowledge. It performs in an unsuperv...
Unsupervised Segmentation of Moving Object by Region-based MRF Model and Occlusion Detection
Unsupervised Segmentation Region-based MRF Model Occlusion Detection
2010/12/14
Unsupervised Segmentation of Moving Object by Region-based MRF Model and Occlusion Detection.