Zhi-Hua Zhou

Alexander G. Hauptmann

Chong-Wah Ngo

Benoit Huet

Shuicheng Yan

Jinhui Tang

This book constitutes the proceedings of the 14th Pacific-Rim Conference on Multimedia, PCM 2013, held in Nanjing, China, in December 2013. The 30 revised full papers and 27 poster papers presented were carefully reviewed and selected from 153 submissions. The papers cover a wide range of topics in the area of multimedia content analysis, multimedia signal processing and communications and multimedia applications and services.

14th Pacific-Rim Conference on Multimedia, Nanjing, China, December 13-16, 2013, Proceedings

Advances in Multimedia Information Processing - PCM 2013

Qiang Ji

Xiang Bai

Shiguang Shan

Gang Hua

Kamal Nasrollahi

Thomas B. Moeslund

Yi Fang

Yangqing Jia

Meina Kan

Chunhua Shen

Jingdong Wang

Gui-Song Xia

Zhaoxiang Zhang

This book constitutes the proceedings of the Third Workshop on Face and Facial Expression Recognition from Real World Videos, FFER 2018, and the Second International Workshop on Deep Learning for Pattern Recognition, DLPR 2018, held at the 24th International Conference on Pattern Recognition, ICPR 2018, in Beijing, China, in August 2018. The 7 papers presented in this volume were carefully reviewed and selected from 9 submissions. They deal with topics such as histopathological images, action recognition, scene text detection, speech recognition, object classification, presentation attack detection, and driver drowsiness detection.

Third International Workshop, FFER 2018, and Second International Workshop, DLPR 2018, Beijing, China, August 20, 2018, Revised Selected Papers

Video Analytics. Face and Facial Expression Recognition

Shaogang Gong

Marco Cristani

Chen Change Loy

The first book of its kind dedicated to the challenge of person re-identification, this text provides an in-depth, multidisciplinary discussion of recent developments and state-of-the-art methods. Features: introduces examples of robust feature representations, reviews salient feature weighting and selection mechanisms and examines the benefits of semantic attributes; describes how to segregate meaningful body parts from background clutter; examines the use of 3D depth images and contextual constraints derived from the visual appearance of a group; reviews approaches to feature transfer function and distance metric learning and discusses potential solutions to issues of data scalability and identity inference; investigates the limitations of existing benchmark datasets, presents strategies for camera topology inference and describes techniques for improving post-rank search efficiency; explores the design rationale and implementation considerations of building a practical re-identification system.

Person Re-Identification

Shuicheng Yan

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