bag-of-words model in computer vision
Represents images as unordered collections of local feature descriptors, enabling object recognition without encoding spatial layout.
1 milestone
Bag of Words Applied to Computer Vision (Visual Vocabulary / Bag of Visual Words)
Josef Sivic and Andrew Zisserman at the University of Oxford applied the Bag of Words text-retrieval model to visual features in their 2003 ICCV paper 'Video Google', representing image regions as a vocabulary of visual words to enable efficient object retrieval from video.