Interacting with computers using images for search and automation

[摘要] (cont.) On the computer vision side, I describe the Adaptive Vocabulary Tree algorithm for indexing and searching a large and dynamic collection of images, the Dynamic Visual Category Learning algorithm for training and updating a set of dynamically changing object categories, the Vocabulary Tree SVM algorithm for fast object recognition by approximating the margins of a set of SVM classifiers efficiently, and the Multiclass Brand-and-Bound Window Search algorithm for simultaneously estimating the optimal location and label of an object in a large input image. Finally, I demonstrate the usability of each proposed application with user studies and the technical performance of each algorithm with series of experiments with large datasets.

[发布机构] Massachusetts Institute of Technology