We propose a visual event recognition framework for consumer domain videos by leveraging a large amount of loosely labeled web videos (e.g., from YouTube). First, we propose a new...
We present an algorithm for detecting human actions
based upon a single given video example of such actions.
The proposed method is unsupervised, does not require
learning, segm...
Numerous approaches, including textual, structural and featural, to detecting duplicate documents have been investigated. Considering document images are usually stored and transm...
In this paper, we present an interactive offline tracking system for generic color objects. The system achieves 60100 fps on a 320 ? 240 video. The user can therefore easily refin...
State-of-the-art object retrieval systems are mostly based on the bag-of-visual-words representation which encodes local appearance information of an image in a feature vector. A ...