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Nevenka Dimitrova

Researcher at Philips

Publications -  49
Citations -  1296

Nevenka Dimitrova is an academic researcher from Philips. The author has contributed to research in topics: Video capture & Video processing. The author has an hindex of 18, co-authored 49 publications receiving 1294 citations. Previous affiliations of Nevenka Dimitrova include Philips Design.

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Patent

Affective television monitoring and control

TL;DR: In this article, a system and method for collecting, analyzing, and using sensory reactions and involuntary or spontaneous movements by members of a television viewing (or listening) audience is presented.
Patent

Apparatus and method for locating a commercial disposed within a video data stream

TL;DR: In this article, a frame grab thread is used to acquire frames from an input data stream to be analyzed by a cut detector thread and a filter thread, and a commercial detection thread determines whether a commercial has occurred from data created by the cut detector and the filter thread stored in a memory.
Patent

Automatic signature-based spotting, learning and extracting of commercials and other video content

TL;DR: In this paper, a video signal is processed to identify segments that are likely to be associated with a commercial or other particular type of video content, and a signature is extracted from each of the segments so identified, and the extracted signatures are used, possibly in conjunction with additional temporal and contextual information, to determine which of the identified segments are in fact associated with the particular video content.
Patent

System and method for generating a multimedia summary of multimedia streams

TL;DR: In this article, a system facilitates and enhances review of one or more multimedia input streams that includes some combination of video, audio and text information, generating a multimedia summary, thereby enabling a user to better browse and/or decide on viewing the multimedia input stream in their entirety.
Patent

A method of and system for detecting uniform color segments

TL;DR: In this article, a method for detecting segment boundaries for a series of successive frames in a video sequence, including steps of acquiring color information from each frame, determining color histogram for each frame and applying boundary detection technique utilizing color histograms.