Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
In this paper we describe a multi-strategy approach to improving semantic extraction from news video. Experiments show the value of careful parameter tuning, exploiting multiple fe...
Alexander G. Hauptmann, Ming-yu Chen, Michael G. C...
In the field of multimedia retrieval in video, text frame classification is essential for text detection, event detection, event boundary detection etc. We propose a new text fram...
Palaiahnakote Shivakumara, Anjan Dutta, Trung Quy ...
Many visual matching algorithms can be described in terms of the features and the inter-feature distance or metric. The most commonly used metric is the sum of squared di erences ...
Why do people tag? Users have mostly avoided annotating media such as photos ? both in desktop and mobile environments ? despite the many potential uses for annotations, including...