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2005
Seminar Paper
Titel
Application-specific evaluation of content based video retrieval methods
Alternative
Applicationsspezifische Bewertung von Content Based Video Retrieval Verfahren
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.
ThesisNote
Darmstadt, TU, Studienarbeit, 2005
Verlagsort
Darmstadt