Rich internet application for semi-automatic annotation of semantic shots on keyframes
Visualitza/Obre
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2099.1/13539
Tipus de documentProjecte/Treball Final de Carrera
Data2011-05
Condicions d'accésAccés obert
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
This thesis describes the graphical user interface developed for semi-automatic keyframebased semantic shot annotation and the semantic shot classifiers built. The graphical user interface aims to optimize the current indexation process by substituting manual
annotation for automatic annotation and validation.
The system is based on supervised learning binary classifiers and web services. The
graphical user interface provides the necessary tools to fix and validate the automatic detections and to learn from the user feedback to retrain the system and improve it.
Results of the classifiers evaluation, performed using cross-validation methods, show a good performance in terms of precision and recall. The graphical user interface has been described as complete and easy to use by a professional documentalist at a broadcast company.
TitulacióENGINYERIA TÈCNICA DE TELECOMUNICACIÓ, ESPECIALITAT EN SO I IMATGE (Pla 2001)
Fitxers | Descripció | Mida | Format | Visualitza |
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memoria.pdf | Memòria | 9,631Mb | Visualitza/Obre |