Concepedia

Media Asset Optimization

Media Asset Optimization is a methodological framework within flexible media that systematically enhances the efficiency, accessibility, and performance of digital media assets through adaptive encoding, intelligent metadata integration, and context-aware delivery mechanisms.

1

Publications

14

Citations

5

Authors

1

Institutions

Publications per year

2017–2026

0

Parents

Publications

1

1–1 of 1

Authors

5

  1. MF
    Manuel Fernández

    Universidad de Sevilla, Spain

    1 publications · 14 citations

    1

    h-index

  2. GG
    Georg Güntner

    University of Bradford, United Kingdom

    1 publications · 14 citations

    1

    h-index

  3. SS
    Sebastian Schaffert

    University of Salzburg, Austria

    1 publications · 14 citations

    1

    h-index

  4. VD
    Violeta Damjanović

    University of Belgrade, Serbia

    1 publications · 14 citations

    1

    h-index

  5. TK
    Thomas Kurz

    Heinrich Heine University Düsseldorf, Germany

    1 publications · 14 citations

    1

    h-index

1–5 of 5

Institutions

1

  1. University of Salzburg

    Salzburg, Austria

    1 h-index

    4 publications

    56 citations

1–1 of 1

Venues

  1. Multimedia Tools and Applications

    1 publications · 14 citations

    1

    h-index

1–1