Big Visual Data Analysis: Scene Classification and Geometric Labeling

SpringerBriefs in Electrical and Computer Engineering

by Chen Chen

This book offers an overview of traditional big visual data analysis approaches and provides state-of-the-art solutions for several scene comprehension problems, indoor/outdoor classification, outdoor scene classification, and outdoor scene layout estimation. It is illustrated with numerous natural and synthetic color images, and extensive statistical analysis is provided to help readers visualize big visual data distribution and the associated problems. Although there has been some research on big visual data analysis, little work has been published on big image data distribution analysis using the modern statistical approach described in this book. By presenting a complete methodology on big visual data analysis with three illustrative scene comprehension problems, it provides a generic framework that can be applied to other big visual data analysis tasks.

134 pages, Paperback

About the author

Chen Chen is the author of two books of poetry, Your Emergency Contact Has Experienced an Emergency (2022) and When I Grow Up I Want to Be a List of Further Possibilities (2017), both published by BOA Editions and by Bloodaxe Books in the UK. His latest chapbook is Explodingly Yours (Ghost City Press, 2023). A Kundiman community member, his honors include the Thom Gunn Award, two Pushcart Prizes, the National Book Award longlist, and fellowships from the National Endowment for the Arts and United States Artists. His work appears in many publications, including three editions of The Best American Poetry and two editions of The Forward Book of Poetry. He teaches for the l0w-residency MFA programs at New England College, Stonecoast, and Antioch. He edits the online poetry journals, Underblong and the lickety~split. He holds an MFA from Syracuse University and a PhD from Texas Tech University. He lives in Rochester, NY with his partner, Jeff Gilbert, and their pug, Mr. Rupert Giles.