Mining Weakly Labeled Web Facial Images for Search-Based Face Annotation
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Research Paper | Computer Science & Engineering | India | Volume 8 Issue 6, June 2019

Mining Weakly Labeled Web Facial Images for Search-Based Face Annotation

Dipak D. Tayade, Nilesh Y Chaudhari

In this paper, we present an automatic web image and video mining framework with the ultimate goal of building a universal human age estimator based on facial information, which is applicable to all ethnic groups and various image qualities. On one hand, a large (391 k) yet noisy human aging image database is collected from Flickr and Google Image using a set of human age-related text queries. Multiple human face detectors based on distinctive techniques are adopted for noise-prune face detection. For each image, the detected faces with high detection confidences constitute a bag of face instances.

Keywords: Image processing, face annotation, weakly labeled facial images, internet vision, Age estimation

Edition: Volume 8 Issue 6, June 2019

Pages: 1498 - 1501

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How to Cite this Article?

Dipak D. Tayade, Nilesh Y Chaudhari, "Mining Weakly Labeled Web Facial Images for Search-Based Face Annotation", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20198874, Volume 8 Issue 6, June 2019, 1498 - 1501

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