This paper proposes a new method for open-vocabulary spoken-document retrieval based on query expansion using related Web documents. A large vocabulary continuous speech recognition (LVCSR) system first transcribes spoken documents into word sequences, which are then segmented into semantically cohesive units (i.e., stories) using a text segmentation technique. Given a text query word, Web docu...

Dans cet article, nous présentons une méthode de segmentation de pages web en blocs de texte pour la sélection de documents pertinents en questions-réponses. La segmentation des documents se fait préalablement à leur indexation en plus du découpage des segments obtenus en passages au moment de l’extraction des réponses. L’extraction du contenu textuel des pages est faite à l’aide d’un extracteu...

In this work, control strategies for combining two potentially powerful buffer management techniques in object bases were devised and evaluated: (1) buffer pool segmentation with segment-specific replacement criteria, and (2) dual buffering consisting of copying objects from pages into object buffers. Two diiensions exist for exerting control on the buffer pool: (1) the copying time which deter...

In recent years, (retro-)digitizing paper-based files became a major undertaking for private and public archives as well as an important task in electronic mailroom applications. As a first step, the workflow involves scanning and Optical Character Recognition (OCR) of documents. Preservation of document contexts of single page scans is a major requirement in this context. To facilitate workflo...

There is an increasingly pressing need to develop document analysis methods that are able to cope with images of documents containing printed regions of complex shapes. Contrary to the bounding-box representation used in most past page segmentation and classification approaches which assume rectangular regions, there is a need for a more flexible description which also retains most of the funct...

Web page segmentation and data cleaning are essential steps in structured web data extraction. Identifying a web page main content region, removing what is not important (menus, ads, etc.), can greatly improve the performance of the extraction process. We propose, for this task, a novel and fully automatic algorithm that uses a tag path sequence (TPS) representation of the web page. The TPS con...

Background: Regarding the importance of right diagnosis in medical applications, various methods have been exploited for processing medical images solar. The method of segmentation is used to analyze anal to miscall structures in medical imaging.Objective: This study describes a new method for brain Magnetic Resonance Image (MRI) segmentation via a novel algorithm based on genetic and regiona...

Potato image segmentation is an important part of image-based potato defect detection. This paper presents a robust potato color image segmentation through a combination of a fuzzy rule based system, an image thresholding based on Genetic Algorithm (GA) optimization and morphological operators. The proposed potato color image segmentation is robust against variation of background, distance and ...

The purpose of this study is to find out if there is a relationship between parameter ofsegmentation and customer satisfaction, in order to find out the current parameter of segmentationin automobile industries In India researcher has gone through several published journal, books,magazines and companies data. The result shows that the most important factor for segmentation ofautomobile industri...