Knowledge-Aided Interface for Big Data Streams

Abstract

This SBIR Phase I project explored a knowledge-aided interface for Big Data streams, specifically considered in the context of multimedia signal processing for real-time alerting capabilities. The effort successfully demonstrated: a flexible methodology for audio and video signal collection on low-powered computing devices; a comparison of several stream data processing frameworks, resulting in the selection of the Amazon Kinesis service; state-of-the-art speech recognition and keyword search, as validated in the NIST OpenKWS evaluation and competitive with performers in the IARPA Babel program; design and initial prototypes for semantic knowledge integrated with context-sensitive visualization in a novel user interface. The technology developed is capable of capturing live broadcast news sources such as streaming Internet video. This is implemented using desktop operating systems that can run on very low-powered computing hardware (typically less than 10W power consumption).

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Document Details

Document Type
Technical Report
Publication Date
Oct 29, 2014
Accession Number
ADA613209

Entities

People

  • Arlo Faria

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Automated Speech Recognition
  • Big Data
  • Computing Devices
  • Data Processing
  • Digital Information
  • Energy Consumption
  • Human-Machine Interaction
  • Information Operations
  • Infrastructure
  • Internet
  • Language
  • Operating Systems
  • Signal Processing
  • Social Media
  • User Interface
  • Video Signals

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computer Science.
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML