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Hamed Abdelfattah Ellozy

Researcher at IBM

Publications -  7
Citations -  888

Hamed Abdelfattah Ellozy is an academic researcher from IBM. The author has contributed to research in topics: Audio mining & Automatic indexing. The author has an hindex of 6, co-authored 7 publications receiving 888 citations.

Papers
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Patent

Automatic indexing and aligning of audio and text using speech recognition

TL;DR: In this paper, a method of automatically aligning a written transcript with speech in video and audio clips is presented. But it does not address the problem of automatic alignment of the transcript with the original transcript.
Patent

System and method for hierarchically grouping and ranking a set of objects in a query context based on one or more relationships

TL;DR: In this article, the topically relevant objects in an object database are first identified using any generally known methods to obtain a set of topical relevant objects (topically relevant set).
Patent

Method and apparatus for improving the paper interface to computing systems

TL;DR: In this paper, a notepad has a form factor similar to a clipboard wherein the board portion includes a digitizing tablet and the clip portion includes an optical scanner, and a battery-powered embedded processor and associated peripherals provide for capturing and storing information in a variety of forms including at least scanning information, digitized stylus information and audio annotation.
Patent

Handwriting recognition employing pairwise discriminant measures

TL;DR: In this paper, a method for differentiating a first character from a second character having similar characteristics is presented, which includes the steps of determining during a training session at least one pairwise discriminant measure associated with the first character and with the second character.
Patent

Automatic indexing of audio using speech recognition

TL;DR: In this paper, a method of automatically aligning a written transcript with speech in video and audio clips is presented. But it does not address the problem of automatic alignment of the transcript with the original transcript.