Abstract:
Image classification is a hot topic in computer vision and pattern recognition. Feature coding, as a key component of image classification, has been widely studied over t...Show MoreMetadata
Abstract:
Image classification is a hot topic in computer vision and pattern recognition. Feature coding, as a key component of image classification, has been widely studied over the past several years, and a number of coding algorithms have been proposed. However, there is no comprehensive study concerning the connections between different coding methods, especially how they have evolved. In this paper, we first make a survey on various feature coding methods, including their motivations and mathematical representations, and then exploit their relations, based on which a taxonomy is proposed to reveal their evolution. Further, we summarize the main characteristics of current algorithms, each of which is shared by several coding strategies. Finally, we choose several representatives from different kinds of coding approaches and empirically evaluate them with respect to the size of the codebook and the number of training samples on several widely used databases (15-Scenes, Caltech-256, PASCAL VOC07, and SUN397). Experimental findings firmly justify our theoretical analysis, which is expected to benefit both practical applications and future research.
Published in: IEEE Transactions on Pattern Analysis and Machine Intelligence ( Volume: 36, Issue: 3, March 2014)
Center for Research on Intelligent Perception and Computing (CRIPAC), Institute of Automation, Beijing, China
Yongzhen Huang received the BE degree from Huazhong University of Science and Technology in 2006 and the PhD degree from the Institute of Automation, Chinese Academy of Sciences (CASIA) in 2011. In July 2011, he joined the National Laboratory of Pattern Recognition (NLPR), CASIA, where he is currently an associate professor. He has published more than 30 papers in the areas of computer vision and pattern recognition in in...Show More
Yongzhen Huang received the BE degree from Huazhong University of Science and Technology in 2006 and the PhD degree from the Institute of Automation, Chinese Academy of Sciences (CASIA) in 2011. In July 2011, he joined the National Laboratory of Pattern Recognition (NLPR), CASIA, where he is currently an associate professor. He has published more than 30 papers in the areas of computer vision and pattern recognition in in...View more
Center for Research on Intelligent Perception and Computing (CRIPAC), Institute of Automation, Beijing, China
Zifeng Wu received the BSc and MSc degrees from the School of Mechanical Engineering and Automation at Beihang University, Beijing, China, in 2006 and 2009, respectively. He is currently working toward the PhD degree in the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China. His research interests include human vision, image classification, and object detection...Show More
Zifeng Wu received the BSc and MSc degrees from the School of Mechanical Engineering and Automation at Beihang University, Beijing, China, in 2006 and 2009, respectively. He is currently working toward the PhD degree in the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China. His research interests include human vision, image classification, and object detection...View more
Center for Research on Intelligent Perception and Computing (CRIPAC), Institute of Automation, Beijing, China
Liang Wang received both the BEng and MEng degrees from Anhui University in 1997 and 2000, respectively, and the PhD degree from the Institute of Automation, Chinese Academy of Sciences (CASIA) in 2004. From 2004 to 2010, he was a research assistant at Imperial College London, United Kingdom, and Monash University, Australia, a research fellow at the University of Melbourne, Australia, and a lecturer at the University of ...Show More
Liang Wang received both the BEng and MEng degrees from Anhui University in 1997 and 2000, respectively, and the PhD degree from the Institute of Automation, Chinese Academy of Sciences (CASIA) in 2004. From 2004 to 2010, he was a research assistant at Imperial College London, United Kingdom, and Monash University, Australia, a research fellow at the University of Melbourne, Australia, and a lecturer at the University of ...View more
Center for Research on Intelligent Perception and Computing (CRIPAC), Institute of Automation, Beijing, China
Tieniu Tan received the BSc degree from Xi’an Jiaotong University, China, in 1984 and the MSc and PhD degrees from Imperial College of Science, Technology and Medicine, London, in 1986 and 1989, respectively. In 1989, he joined the Computational Vision Group, Department of Computer Science, University of Reading, United Kingdom, where he was a research fellow, a senior research fellow, and a lecturer. In 1998, he joined t...Show More
Tieniu Tan received the BSc degree from Xi’an Jiaotong University, China, in 1984 and the MSc and PhD degrees from Imperial College of Science, Technology and Medicine, London, in 1986 and 1989, respectively. In 1989, he joined the Computational Vision Group, Department of Computer Science, University of Reading, United Kingdom, where he was a research fellow, a senior research fellow, and a lecturer. In 1998, he joined t...View more
Contents Center for Research on Intelligent Perception and Computing (CRIPAC), Institute of Automation, Beijing, China
Yongzhen Huang received the BE degree from Huazhong University of Science and Technology in 2006 and the PhD degree from the Institute of Automation, Chinese Academy of Sciences (CASIA) in 2011. In July 2011, he joined the National Laboratory of Pattern Recognition (NLPR), CASIA, where he is currently an associate professor. He has published more than 30 papers in the areas of computer vision and pattern recognition in international journals and conferences such as the IEEE Transactions on Systems, Man, and Cybernetics-B, CVPR, NIPS, ICIP, and ICPR. His current research interests include pattern recognition, computer vision, machine learning, and biologically inspired vision computing. He is a member of the IEEE.
Yongzhen Huang received the BE degree from Huazhong University of Science and Technology in 2006 and the PhD degree from the Institute of Automation, Chinese Academy of Sciences (CASIA) in 2011. In July 2011, he joined the National Laboratory of Pattern Recognition (NLPR), CASIA, where he is currently an associate professor. He has published more than 30 papers in the areas of computer vision and pattern recognition in international journals and conferences such as the IEEE Transactions on Systems, Man, and Cybernetics-B, CVPR, NIPS, ICIP, and ICPR. His current research interests include pattern recognition, computer vision, machine learning, and biologically inspired vision computing. He is a member of the IEEE.View more
Center for Research on Intelligent Perception and Computing (CRIPAC), Institute of Automation, Beijing, China
Zifeng Wu received the BSc and MSc degrees from the School of Mechanical Engineering and Automation at Beihang University, Beijing, China, in 2006 and 2009, respectively. He is currently working toward the PhD degree in the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China. His research interests include human vision, image classification, and object detection.
Zifeng Wu received the BSc and MSc degrees from the School of Mechanical Engineering and Automation at Beihang University, Beijing, China, in 2006 and 2009, respectively. He is currently working toward the PhD degree in the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China. His research interests include human vision, image classification, and object detection.View more
Center for Research on Intelligent Perception and Computing (CRIPAC), Institute of Automation, Beijing, China
Liang Wang received both the BEng and MEng degrees from Anhui University in 1997 and 2000, respectively, and the PhD degree from the Institute of Automation, Chinese Academy of Sciences (CASIA) in 2004. From 2004 to 2010, he was a research assistant at Imperial College London, United Kingdom, and Monash University, Australia, a research fellow at the University of Melbourne, Australia, and a lecturer at the University of Bath, United Kingdom, respectively. Currently, he is a full professor of the Hundred Talents Program at the National Lab of Pattern Recognition, CASIA. His major research interests include machine learning, pattern recognition, and computer vision. He has widely published in highly ranked international journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Information Processing, and leading international conferences such as CVPR, ICCV, and ICDM. He is a senior member of the IEEE.
Liang Wang received both the BEng and MEng degrees from Anhui University in 1997 and 2000, respectively, and the PhD degree from the Institute of Automation, Chinese Academy of Sciences (CASIA) in 2004. From 2004 to 2010, he was a research assistant at Imperial College London, United Kingdom, and Monash University, Australia, a research fellow at the University of Melbourne, Australia, and a lecturer at the University of Bath, United Kingdom, respectively. Currently, he is a full professor of the Hundred Talents Program at the National Lab of Pattern Recognition, CASIA. His major research interests include machine learning, pattern recognition, and computer vision. He has widely published in highly ranked international journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Information Processing, and leading international conferences such as CVPR, ICCV, and ICDM. He is a senior member of the IEEE.View more
Center for Research on Intelligent Perception and Computing (CRIPAC), Institute of Automation, Beijing, China
Tieniu Tan received the BSc degree from Xi’an Jiaotong University, China, in 1984 and the MSc and PhD degrees from Imperial College of Science, Technology and Medicine, London, in 1986 and 1989, respectively. In 1989, he joined the Computational Vision Group, Department of Computer Science, University of Reading, United Kingdom, where he was a research fellow, a senior research fellow, and a lecturer. In 1998, he joined the National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, where he is currently a professor and the director of NLPR. He has published more than 300 research papers in refereed journals and conference proceedings in the areas of image processing, computer vision, and pattern recognition. His current research interests include biometrics, image and video understanding, information hiding, and information forensics. He is a fellow of the IEEE and the IAPR.
Tieniu Tan received the BSc degree from Xi’an Jiaotong University, China, in 1984 and the MSc and PhD degrees from Imperial College of Science, Technology and Medicine, London, in 1986 and 1989, respectively. In 1989, he joined the Computational Vision Group, Department of Computer Science, University of Reading, United Kingdom, where he was a research fellow, a senior research fellow, and a lecturer. In 1998, he joined the National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, where he is currently a professor and the director of NLPR. He has published more than 300 research papers in refereed journals and conference proceedings in the areas of image processing, computer vision, and pattern recognition. His current research interests include biometrics, image and video understanding, information hiding, and information forensics. He is a fellow of the IEEE and the IAPR.View more
