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Leonid Yavits

Researcher at Technion – Israel Institute of Technology

Publications -  73
Citations -  1430

Leonid Yavits is an academic researcher from Technion – Israel Institute of Technology. The author has contributed to research in topics: Computer science & Massively parallel. The author has an hindex of 17, co-authored 61 publications receiving 1168 citations. Previous affiliations of Leonid Yavits include Bar-Ilan University & Broadcom.

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Patent

Video encoding and video/audio/data multiplexing device

TL;DR: In this article, a buffer architecture and latency reduction mechanism for buffering uncompressed/compressed information is proposed for real-time video/audio compression, where a multiplexing processor can include a storage unit which buffers a compressed video bitstream and a processor which retrieves the compressed video bitsstream from the storage unit and produces a multiple-xed data stream.
Patent

Video encoding device

TL;DR: In this article, a video encoding system includes a video source providing a multiple frame video signal, a compressed data interface, a host interface and a video encoder and decoder.
Patent

Set top box with transcoding capabilities

TL;DR: In this paper, a media stream transcoding set top box including an RF input interface, an RF receiver configured to receive an RF signal including an original digital media stream, and an output interface configured to output the compressed processed media stream in a format suitable for a client device is described.
Journal ArticleDOI

Resistive Associative Processor

TL;DR: This work proposes and investigates an AP based on resistive CAM-the Resistive AP (ReAP), and shows that resistive memory technology potentially allows scaling the AP from a few millions to a few hundred millions of processing units on a single silicon die.
Patent

Targeted content with broadcast material

TL;DR: In this article, a channel probe for obtaining channel context data from a stream at least passing through a user-end communication apparatus, a keyword/key concept extractor for extracting channel keywords from the channel contexts data, and a content selector for selecting a content item or stream for mixing into a channel currently being viewed based on the channel keyword or key concept.