When working together on a common document, collaborators frequently share and discuss their ideas about further revisions. Collaborative writing might, therefore, be thought of as a process of negotiating what changes to make among co-authors. The World Wide Web is an easily accessible infrastructure to facilitate such a communication process over documents. This paper explores the dialogues f...

We present a domain-independent topic segmentation algorithm for multi-party speech. Our feature-based algorithm combines knowledge about content using a text-based algorithm as a feature and about form using linguistic and acoustic cues about topic shifts extracted from speech. This segmentation algorithm uses automatically induced decision rules to combine the different features. The embedded...

This paper suggests an efficient image segmentation algorithm in 3 steps for grayscale images. First step is the segmentation as homogenous region on image. And, second step is merging of region without meaningful boundary between segmented regions. At the final step, region, which is considered as meaningless due to composition with minute region, is merged by consideration of similarity with ...

Image segmentation is an important research area in computer vision and many segmentation methods have been proposed. This paper attempts to provide a brief overview of elemental segmentation techniques based on boundary or regional approaches. It focuses mainly on the agent based image segmentation techniques.

The success of object-based media representation and description (e.g., MPEG-4 and –7) depends largely on effective object segmentation tools. In this paper, we expand our previous work on automatic video region tracking and develop a robust-moving objects detection system. In our system, we first utilize innovative methods of combining color and edge information in improving the object motion ...

Content-based image retrieval from large multimedia databases effectively and efficiently is a challenging task. In this paper, we propose a retrieval technique that utilizes the regional properties of the images. After image segmentation, each region is represented by its colour, shape, size, and spatial position. Regions of different images are matched and a distance measure between the whole...

Attention is a critical mechanism for visual scene analysis. By means of attention, it is possible to break down the analysis of a complex scene to the analysis of its parts through a selection process. Empirical studies demonstrate that attentional selection is conducted on visual objects as a whole. We present a neurocomputational model of object-based selection in the framework of oscillator...

introduction:  the  advent  of  dual-modality  pet/ct  scanners  has  revolutionized  clinical  oncology  by  improving lesion localization and facilitating treatment planning for radiotherapy. in addition, the use of  ct images for ct-based attenuation correction (ctac) decreases the overall scanning time and creates  a noise-free  attenuation  map  (6map).  ctac  methods  include  scaling,  s...

We present a framework to incorporate near-infrared (NIR) information into algorithms to better segment objects by isolating material boundaries from color and shadow edges. Most segmentation algorithms assign individual regions to parts of the object that are colorized differently. Similarly, the presence of shadows and thus large changes in image intensities across objects can also result in ...