In this paper a new approach is proposed to track the perceptual behaviour of radiologists when they examine mammographic images displayed on large dual clinical monitors. Zooming and panning are inevitably performed by the radiologist to examine such large images by using the DICOM viewing software. Such image manipulating movements on the target displays makes eye tracking techniques difficul...

This paper introduces Eve, a highperformance agent that plays a fast-paced image matching game in a spoken dialogue with a human partner. The agent can be optimized and operated in three different modes of incremental speech processing that optionally include incremental speech recognition, language understanding, and dialogue policies. We present our framework for training and evaluating the a...

The fusion between an endoscopic movie and a CT poses a special surface registration problem. The surface extracted from CT is complete and accurate, whereas the surface extracted from endoscopy suffers from serious missing patches and topology change. We propose a surface registration method, Thin Shell Demons, that is robust under these two situations. Motivated by Thirion’s Demons idea, the ...

Regression-based schemes have proven effective for locating landmarks on images. Most previous approaches either predict the positions of all points simultaneously, or use regressors that predict individual points combined with a global shape constraint. The former can be efficient, but such models tend to be less robust. Conversely, Random Forest (RF) voting methods for individual points have ...

Speech recognition, image processing, and language understanding technologies have successfully been applied to broadcast news corpora to automate the extraction of metadata and make use of it in building effective video news retrieval interfaces. This paper discusses how these multimedia technologies can be adapted to enrich perspectives in exploring cultural heritage documentaries. Through au...