scispace - formally typeset
I

Ilan Freedman

Researcher at NICE Systems

Publications -  8
Citations -  888

Ilan Freedman is an academic researcher from NICE Systems. The author has contributed to research in topics: Video capture & Component (UML). The author has an hindex of 6, co-authored 8 publications receiving 888 citations.

Papers
More filters
Patent

Method, apparatus and system for capturing and analyzing interaction based content

TL;DR: In this article, a method and apparatus for capturing and analyzing customer interactions is described, the apparatus comprising a multi-segment interaction capture device (324), an initial set up and calibration device (326), a pre-processing and context extraction device (328) and a rule-based analysis engine (300).
Patent

Digital recording of ip based distributed switching platform

TL;DR: In this article, a system and method for recording and/or monitoring IP multimedia sessions is presented, which features a recording and monitoring device, referred to hereinafter as "a recording device" for the purposes of clarity only and without any intention of being limiting.
Patent

Advanced quality management and recording solutions for walk-in environments

TL;DR: In this paper, a system and method for capturing, logging and retrieval of face-to-face interactions characterizing walk-in environments is presented, which consists of a device for capturing and storing one or more face to face interactions captured in the presence of the parties to the interaction, and a database for storing data and metadata information associated with the face-tface interactions captured.
Patent

Apparatus and method for audio content analysis, marking and summing

TL;DR: In this paper, an apparatus and method for the analysis, marking and summing of audio channel content and control data is presented, and a summed signal carrying combined audio content, marking, and data in the summed signal is generated.
Patent

Recording and quality management solutions for walk-in environments

TL;DR: In this article, a system and methods for capturing, storing and retrieving customer face-to-face frontal interactions characterizing walk-in environments, for the purpose of quality management is presented.