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Research Paper | Computer Science Engineering | Volume 8 Issue 6, June 2019 | Pages: 1498 - 1501 | India
Mining Weakly Labeled Web Facial Images for Search-Based Face Annotation
Abstract: 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
How to Cite?: Dipak D. Tayade, Nilesh Y Chaudhari, "Mining Weakly Labeled Web Facial Images for Search-Based Face Annotation", Volume 8 Issue 6, June 2019, International Journal of Science and Research (IJSR), Pages: 1498-1501, https://www.ijsr.net/getabstract.php?paperid=ART20198874, DOI: https://dx.doi.org/10.21275/ART20198874