Pattern recognition technologies for multimedia information ...
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Pattern recognition technologies for multimedia information ...
May 27, 2014 - Pattern recognition technologies for multimedia information processing. Authors; Authors and affiliations. Sang-Soo YeoEmail author; Ken ...
Multimed Tools Appl (2015) 74:179–183 DOI 10.1007/s11042-014-2113-0 GUEST EDITORIAL
Pattern recognition technologies for multimedia information processing Sang-Soo Yeo & Ken Chen & Honghai Liu
Published online: 27 May 2014 # Springer Science+Business Media New York 2014
Abstract Advanced algorithms based on pattern recognition for segmentation, recognition, and indexing of image, video, speech and audio data have been investigated and developed to analyze multimedia information, recently. Pattern recognition algorithms generally aim to provide a reasonable answer for all possible inputs and to perform most likely matching of the inputs, taking into account their statistical variation. Theses algorithms have been widely used in many applications to recognize what people understand such as objects, faces, human actions, and so on. Although there has been a great progress in fields of image and speech processing, virtual and augmented reality, human-computer interaction, and so on, we still have the difficulties of implementing general models that are robust to real-world variations. In this special issue, our goal is to consolidate the recent research achievements that include diverse pattern recognition based information processing for multimedia applications.
1 Introduction Despite of increasing interest of researchers to issues related to pattern recognition and machine learning over the last decade, it is still imperfectly understood and studied. We have received many manuscripts and each manuscript was blindly reviewed by at least three reviewers consisting of guest editors and external reviewers. After the first and second review processes, nine manuscripts were finally selected to be included in this special issue. In Section 2, we present the summaries of the manuscript accepted in this issue. In the last section, we conclude the paper with some observations and future work. S.
