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Research Paper | Computer Science & Engineering | India | Volume 4 Issue 2, February 2015
Automatic Face Annotation
Ashna Shajahan
Abstract: Face annotation is related to face detection and recognition has many real world applications. To resolve the challenges in image processing and computer vision, recently research interests in mining weakly label web facial images has been done through automatic face annotation. This paper introduces a framework of search based face annotation (SBFA) by mining weakly labeled web facial image that are available on www. one challenging part of SBFA scheme is managing most similar web facial images and their weak labels. To avoid this problem, I propose an effective refinement of unsupervised label (RUL) scheme for refining the labels of web facial images. To speed up the proposed system, I also propose a clustering-based approximation algorithm which can improve the scalability.
Keywords: Face Annotation, Face Detection, SBFA
Edition: Volume 4 Issue 2, February 2015,
Pages: 1526 - 1530
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Research Paper, Computer Science & Engineering, India, Volume 8 Issue 6, June 2019
Pages: 1498 - 1501Mining Weakly Labeled Web Facial Images for Search-Based Face Annotation
Dipak D. Tayade | Nilesh Y Chaudhari
Downloads: 111
M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 4 Issue 3, March 2015
Pages: 1415 - 1418Reducing Semantic Gap in Image Retrieval by Integrating High Level Query and Low Level Facial Features
Anusree B S