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Knowledge and Reasoning for Image Understanding

Abstract Image Understanding is a long-established discipline in computer vision, which encompasses a body of advanced image processing techniques, that are used to locate (“where”), characterize and recognize (“what”) objects, regions, and their attributes in the image. However, the notion of “understanding” (and the goal of artificial intelligent machines) goes beyond factual recall of the recognized components and includes reasoning and thinking beyond what can be seen (or perceived). Understanding is often evaluated by asking questions of increasing difficulty. Thus, the expected functionalities of an intelligent Image Understanding system can be expressed in terms of the functionalities that are required to answer questions about an image. Answ... (more)
Created Date 2018
Contributor Aditya, Somak (Author) / Baral, Chitta (Advisor) / Yang, Yezhou (Advisor) / Aloimonos, Yiannis (Committee member) / Lee, Joohyung (Committee member) / Li, Baoxin (Committee member) / Arizona State University (Publisher)
Subject Computer science / Artificial intelligence / Commonsense Reasoning / Knowledge Representation / Reasoning / Reasoning under Uncertainty / Vision
Type Doctoral Dissertation
Extent 255 pages
Language English
Note Doctoral Dissertation Computer Science 2018
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis