Título

The segmented and annotated IAPR TC-12 benchmark

Autor

HUGO JAIR ESCALANTE BALDERAS

CARLOS ARTURO HERNANDEZ GRACIDAS

JESUS ANTONIO GONZALEZ BERNAL

AURELIO LOPEZ LOPEZ

MANUEL MONTES Y GOMEZ

EDUARDO FRANCISCO MORALES MANZANARES

LUIS ENRIQUE SUCAR SUCCAR

LUIS VILLASEÑOR PINEDA

Nivel de Acceso

Acceso Abierto

Resumen o descripción

Automatic image annotation (AIA), a highly popular topic in the field of information retrieval research, has experienced significant progress within the last decade. Yet, the lack of a standardized evaluation platform tailored to the needs of AIA, has hindered effective evaluation of its methods, especially for region-based AIA. Therefore in this paper, we introduce the segmented and annotated IAPR TC-12 benchmark; an extended resource for the evaluation of AIA methods as well as the analysis of their impact on multimedia information retrieval. We describe the methodology adopted for the manual segmentation and annotation of images, and present statistics for the extended collection. The extended collection is publicly available and can be used to evaluate a variety of tasks in addition to image annotation. We also propose a soft measure for the evaluation of annotation performance and identify future research areas in which this extended test collection is likely to make a contribution.

Editor

Elsevier Inc.

Fecha de publicación

2009

Tipo de publicación

Artículo

Versión de la publicación

Versión aceptada

Formato

application/pdf

Idioma

Inglés

Audiencia

Estudiantes

Investigadores

Público en general

Sugerencia de citación

Escalante-Balderas, H.J., et al., (2009). The segmented and annotated IAPR TC-12 benchmark, Computer Vision and Image Understanding (114): 419–428

Repositorio Orígen

Repositorio Institucional del INAOE

Descargas

286

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