Incremental Multiple Classifier Active Learning for Concept Indexing in Images and VideosReportar como inadecuado




Incremental Multiple Classifier Active Learning for Concept Indexing in Images and Videos - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

* Corresponding author 1 LIG - Laboratoire d-Informatique de Grenoble 2 MRIM - Modélisation et Recherche d’Information Multimédia Grenoble LIG - Laboratoire d-Informatique de Grenoble, Inria - Institut National de Recherche en Informatique et en Automatique

Abstract : Active learning with multiple classifiers has shown good performance for concept indexing in images or video shots in the case of highly imbalanced data. It involves however a large number of computations. In this paper, we propose a new incremental active learning algorithm based on multiple SVM for image and video annotation. The experimental result show that the best performance MAP is reached when 15-30% of the corpus is annotated and the new method can achieve almost the same precision while saving 50 to 63% of the computation time.

Keywords : Multimedia Indexing Machine Learning Active Learning and Incremental Learning





Autor: Bahjat Safadi - Yubing Tong - Georges Quénot -

Fuente: https://hal.archives-ouvertes.fr/



DESCARGAR PDF




Documentos relacionados