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The recent advances in the image data capture, storage and communication technologies have brought a rapid growth of image and video contents. Image and video data mining, the process of extracting hidden patterns from image and video data, becomes an important and emerging task. Despite a lot of previous work, data mining techniques that are successful in mining text and transaction data cannot simply apply to image and video data that are much more complex. Due to the structure and content variations of the visual patterns, it is not a trivial task to discover meaningful patterns...

This book will provide a comprehensive overview on human action analysis with randomized trees. It will cover both the supervised random trees and the unsupervised random trees. When there are sufficient amount of labeled data available, supervised random trees provides a fast method for space-time interest point matching. When labeled data is minimal as in the case of example-based action search, unsupervised random trees is used to leverage the unlabelled data. We describe how the randomized trees can be used for action classification, action detection, action search, and action prediction....

Context Aware Human-Robot and Human-Agent Interaction