Computer vision, the science and technology of machines that see, has been a rapidly developing research area since the mid-1970s. It focuses on the understanding of digital input images in many forms, including video and 3-D range data. Graph-Based Methods in Computer Vision: Developments and Applications presents a sampling of the research issues related to applying graph-based methods in computer vision. These methods have been under-utilized in the past, but use must now be increased because of their ability to naturally and effectively represent image models and data. This publication explores current activity and future applications of this fascinating and ground-breaking topic.

Computer Vision and Pattern Recognition (CVPR) together play an important role in the processes involved in environmental informatics due to their pervasive, non-destructive, effective, and efficient natures. As a result, CVPR has made significant contributions to the field of environmental informatics by enabling multi-modal data fusion and feature extraction, supporting fast and reliable object detection and classification, and mining the intrinsic relationship between different aspects of environmental data. Computer Vision and Pattern Recognition in Environmental Informatics describes a number of methods and tools for image interpretation and analysis, which enables observation, modelling, and understanding of environmental targets. In addition to case studies on monitoring and modeling plant, soil, insect, and aquatic animals, this publication includes discussions on innovative new ideas related to environmental monitoring, automatic fish segmentation and recognition, real-time motion tracking systems, sparse coding and decision fusion, and cell phone image-based classification and provides useful references for professionals, researchers, engineers, and students with various backgrounds within a multitude of communities.

This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2018, held in Beijing, China, in August 2018. The 49 papers presented in this volume were carefully reviewed and selected from 75 submissions. They were organized in topical sections named: classification and clustering; deep learning and neurla networks; dissimilarity representations and Gaussian processes; semi and fully supervised learning methods; spatio-temporal pattern recognition and shape analysis; structural matching; multimedia analysis and understanding; and graph-theoretic methods.

An acclaimed Chinese writer makes his English language debut with this heart-stopping literary noir, a richly atmospheric tale of espionage and international intrigue, set in Shanghai in 1931--an electrifying, decadent world of love, violence, and betrayal filled with femme fatales, criminals, revolutionaries, and spies. A boat from Hong Kong arrives in Shanghai harbor, carrying an important official in the Nationalist Party and his striking wife, Leng. Amid the raucous sound of firecrackers, gunshots ring out; an assassin has shot the official and then himself. Leng disappears in the ensuing chaos. Hseuh, a Franco-Chinese photographer aboard the same boat, became captivated by Leng's beauty and unconcealed misery. Now, she is missing. But Hsueh is plagued by a mystery closer to home: he suspects his White Russian lover, Therese, is unfaithful. Why else would she disappear so often on their recent vacation? When he's arrested for mysterious reasons in the French Concession and forced to become a police collaborator, he realizes that in the seamy, devious world of Shanghai, no one is who they appear to be. Coerced into spying for the authorities, Hseuh discovers that Therese is secretly an arms dealer, supplying Shanghai's gangs with weapons. His investigation of Therese eventually leads him back to Leng, a loyal revolutionary with ties to a menacing new gang, led by a charismatic Communist whose acts of violence and terrorism threaten the entire country. His aptitude for espionage draws Hseuh into a dark underworld of mobsters, smugglers, anarchists, and assassins. Torn between Therese and Leng, he vows to protect them both. As the web of intrigue tightens around him, Hsueh plays a dangerous game, hoping to stay alive.

The characters in this literary exploration of one of the world's biggest cities are all on a mission. Whether it is responding to events around them, or following some impulse of their own, they are defined by their determination - a refusal to lose themselves in a city that might otherwise leave them anonymous, disconnected, alone. From the neglected mother whose side-hustle in collecting sellable waste becomes an obsession, to the schoolboy determined to end a long-standing feud between his family and another, the characters in The Book of Shanghai show a defiance that reminds us why Shanghai - despite its hurtling economic growth -remains an epicentre for individual creativity.