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Yucel Altunbasak
Researcher at Hewlett-Packard
Publications - 10
Citations - 358
Yucel Altunbasak is an academic researcher from Hewlett-Packard. The author has contributed to research in topics: Motion estimation & Frame (networking). The author has an hindex of 7, co-authored 10 publications receiving 358 citations.
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Patent
Object-based parsing and indexing of compressed video streams
TL;DR: In this paper, a method and system for object-based video retrieval and indexing include a configuration detection processor for deriving quantitative attribute information for video frames in a compressed video stream.
Patent
Apparatus and method of increasing scanner resolution
Yucel Altunbasak,David Taubman +1 more
TL;DR: In this article, a first low-resolution representation of an image is generated during a first scan and a second low resolution representation of the image during a second scan, and a super resolution technique is used to generate a third representation of image from the composite representation.
Patent
System and method for automatically detecting shot boundary and key frame from a compressed video data
TL;DR: In this paper, a system for detecting shot boundary in a compressed video data without decompression includes a difference detector that detects content difference between frames and a threshold selection unit coupled to the difference detector to select the thresholds in accordance with the content difference detected.
Patent
Image mosaicing system and method adapted to mass-market hand-held digital cameras
TL;DR: In this article, a camera for capturing image frames, a frame store unit for storing the pre-screened frames, and a refined frame mosaicing unit for generating a refined mosaic from the image frames that are stored in the store unit.
Patent
Image scanner with optical waveguide and enhanced optical sampling rate
TL;DR: In this article, an optical waveguide and a shutter are used to guide light from multiple illuminated pixels on a document being scanned onto a single photosensor element, and the data from multiple scans are then combined to form a single scanned image that has a higher optical sampling rate than the native optical sampling rates of the sensor array.