'Metadata generation' presentation slideshows

BIT 3193 MULTIMEDIA DATABASE

BIT 3193 MULTIMEDIA DATABASE. CHAPTER 3 : MULTIMEDIA INFORMATION MODELING. Metadata for Multimedia. Metadata. Media objects such as audio, image and video are binary, unstructured, and uninterpreted.

1.3k views • 110 slides

Julie Mason, Data Fountains Service Manager University of California, Riverside

iVia and Data Fountains: Open Source Internet Portal System and Metadata Generation Service for Amplifying the Efforts of Subject Experts. Julie Mason, Data Fountains Service Manager University of California, Riverside. LITA 2004 National Forum St. Louis, Missouri. iVia and Data Fountains.

407 views • 30 slides

Automatic Metadata Generation

Automatic Metadata Generation. <a look at some of the state-of-the-state > Jane Greenberg April 22, 2009. Overview. Automatic metadata generation Definitions and approaches Metadata classes and functions Research and development Brief comments on relationship to Dryad

287 views • 28 slides

SEKT

242 views • 23 slides

The Institutional Role in a Technology-Intensive Collaborative Research Enterprise

The Institutional Role in a Technology-Intensive Collaborative Research Enterprise. Peter M. Siegel Chief Information Officer University of California, Davis AIChE Annual Meeting San Francisco, California, November 2006

311 views • 20 slides

Building a Demonstration Prototype for the Preservation of Large-scale Multi-media Collections

311 views • 18 slides

Creating and Visualizing Document Classification

288 views • 17 slides

Automatic cataloging & classification

Automatic cataloging & classification. Eric Childress OCLC Research. OCLC Members Council Research and New Technologies Interest Group 25 October 2005. The key question. Can machines be leveraged for? Baseline metadata Critical data present Accurate tagging Accurate values

285 views • 17 slides

Automatic cataloging & classification

Automatic cataloging & classification. Eric Childress OCLC Research. OCLC Members Council Research and New Technologies Interest Group 25 October 2005. The key question. Can machines be leveraged for? Baseline metadata Critical data present Accurate tagging Accurate values

178 views • 17 slides

GCE Data Toolbox -- metadata-based tools for automated data processing and analysis

GCE Data Toolbox -- metadata-based tools for automated data processing and analysis. Wade Sheldon University of Georgia GCE-LTER. Rationale.

382 views • 16 slides

Information Integration

Lec . 9 May 13, 2010 ISM 158. Information Integration. Instructor: Pankaj Mehra Teaching Assistant: Raghav Gautam. Enterprise Information. Centralized versus Distributed?. Distributed systems occur naturally

268 views • 16 slides

Automatic Metadata Generation

394 views • 14 slides

Developing Reliable Automatic Metadata Generation: Feedback from MatDL Pathway

Developing Reliable Automatic Metadata Generation: Feedback from MatDL Pathway. NSDL Annual Meeting , Washington, DC November 6-8 2007 Advancing NSDL Networks. Cathy S. Lowe, Laura M. Bartolo, Kent State University. Outline. MatDL Pathway

266 views • 13 slides

Southworks Induction Program Build Server Exercise

Southworks Induction Program Build Server Exercise. Exercise Focus. Target Level: Leader (Ranger) Assess technical skills Assess Communication skills Assess behaviours related to Work estimation and planning Deal with Ambiguity Change management Learn new technologies.

254 views • 12 slides

Metadata in Carrot II

Metadata in Carrot II. Current metadata TF.IDF for both documents and collections Full-text index Metadata are transferred between different nodes Potential Problems Storage cost: metadata size is huge, computation cost: computation time is long

133 views • 5 slides

Metadata in Carrot II

Metadata in Carrot II. Current metadata TF.IDF for both documents and collections Full-text index Metadata are transferred between different nodes Potential Problems Storage cost: metadata size is huge, computation cost: computation time is long

58 views • 5 slides