Cover image for Semantic mining technologies for multimedia databases
Semantic mining technologies for multimedia databases
Title:
Semantic mining technologies for multimedia databases
Author:
Li, Xuelong, 1976-
ISBN:
9781605661896
Publication Information:
Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2009.
Physical Description:
electronic texts (xvi, 532 p. : ill.) : digital files.
Contents:
Video representation and processing for multimedia data mining / Amr Ahmed -- Image features from morphological scale-spaces / Sébastien Lefèvre -- Face recognition and semantic features / Huiyu Zhou, Yuan Yuan, Chunmei Shi -- Shape matching for foliage database retrieval / Haibin Ling, David W. Jacobs -- Similarity learning for motion estimation / Shaohua Kevin Zhou ... [et al.] -- Active learning for relevance feedback in image retrieval / Jian Cheng, Kongqiao Wang, Hanqing Lu -- Visual data mining based on partial similarity concepts / Juliusz L. Kulikowski -- Image/video semantic analysis by semi-supervised learning / Jinhui Tang, Xian-Sheng Hua, Meng Wang -- Content-based video semantic analysis / Shuqiang Jiang ... [et al.] -- Applications of semantic mining on biological process engineering / Hossam A Gabbar, Naila Mahmut -- Intuitive image database navigation by hue-sphere browsing / Gerald Schaefer, Simon Ruszala -- Formal models and hybrid approaches for efficient manual image annotation and retrieval / Rong Yan, Apostol Natsev, Murray Campbell -- Active video annotation: to minimize human effort / Meng Wang ... [et al.] -- Annotating images by mining image search / Xin-Jing Wang ... [et al.] -- Semantic classification and annotation of images / Yonghong Tian ... [et al.] -- Association-based image retrieval / Arun Kulkarni, Leonard Brown -- Compressed-domain image retrieval based on colour visual patterns / Gerald Schaefer -- Resource discovery using mobile agents / M. Singh, X. Cheng, X. He -- Multimedia data indexing / Zhu Li ... [et al.].
Abstract:
Multimedia searching and management have become popular due to demanding applications and competition among companies. Despite the increase in interest, there is no existing book covering basic knowledge on state-of-the-art techniques within the field. This book provides an introduction to the most recent techniques in multimedia semantic mining necessary to researchers new to the field. It serves as an important reference in multimedia for academicians, multimedia technologists and researchers, and academic libraries.
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