Becker, François ; Schmucker, Martin (2005)
Application-Specific Evaluation of Content Based Video Retrieval Methods.
Buch, Bibliographie
Kurzbeschreibung (Abstract)
Content-based video retrieval (CBVR) is still in its infancy: practical implementations almost never go beyond queries on textual information on scenes or complete video sequences' descriptors annotated by a human being. Automated annotation is mostly found on research-oriented systems. The original purpose of this study was to provide tools for selection and integration of descriptors in a CBVR system dedicated to specific application purposes. The objective of this bibliographical review is to present and compare various visual low-level descriptors found in scientific literature and video standards, with a real or potential interest for a CBVR system; we address different issues: either methodological (criteria for their selection and evaluation, and/or their pertinence and performance), linked to image and signal processing, or computer oriented like underlying data structures, etc.
| Typ des Eintrags: | Buch |
|---|---|
| Erschienen: | 2005 |
| Autor(en): | Becker, François ; Schmucker, Martin |
| Art des Eintrags: | Bibliographie |
| Titel: | Application-Specific Evaluation of Content Based Video Retrieval Methods |
| Sprache: | Englisch |
| Publikationsjahr: | 2005 |
| Kurzbeschreibung (Abstract): | Content-based video retrieval (CBVR) is still in its infancy: practical implementations almost never go beyond queries on textual information on scenes or complete video sequences' descriptors annotated by a human being. Automated annotation is mostly found on research-oriented systems. The original purpose of this study was to provide tools for selection and integration of descriptors in a CBVR system dedicated to specific application purposes. The objective of this bibliographical review is to present and compare various visual low-level descriptors found in scientific literature and video standards, with a real or potential interest for a CBVR system; we address different issues: either methodological (criteria for their selection and evaluation, and/or their pertinence and performance), linked to image and signal processing, or computer oriented like underlying data structures, etc. |
| Freie Schlagworte: | Information retrieval, Video retrieval, Content based retrieval, Feature extraction, Evaluation, Image processing, MPEG |
| Zusätzliche Informationen: | 60 p. |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 16 Apr 2018 09:04 |
| Letzte Änderung: | 27 Jun 2019 10:42 |
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