A video copy detection system that is based on content fingerprinting and can be used for
video indexing and copyright applications is proposed. The system relies on a fingerprint …

We propose semantic model vectors, an intermediate level semantic representation, as a
basis for modeling and detecting complex events in unconstrained real-world videos, such …

While understanding the se-mantic meaning of video content is immediate for humans, it's
far from immediate for a computer. This discrepancy is commonly referred to as the semantic …

The article presents an optimized view-dependent meshing framework for adaptive and
continuous level-of-detail (LOD) rendering in real-time. Multiresolution triangle mesh …

Abstract The Microsoft SenseCam is a small lightweight wearable camera used to passively
capture photos and other sensor readings from a user's day-to-day activities. It captures on …

Automatic image annotation using supervised learning is performed by concept classifiers
trained on labelled example images. This work proposes the use of clickthrough data …

Recent advances in semantic image analysis have brought forth generic methodologies to
support concept learning at large scale. The attained performance however is highly …

In this paper, we describe the system jointly developed by IBM Research and Columbia
University for video copy detection and multimedia event detection applied to the TRECVID …

In this paper a novel approach for automatically annotating image databases is proposed.
Despite most current schemes that are just based on spatial content analysis, the proposed …

In this paper, we evaluate several low dimensional color features for object retrieval in
surveillance video. Previous work in object retrieval in surveillance has been hampered by …