Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/124126
Title: GEO-REFERENCED VIDEO RETRIEVAL: TEXT ANNOTATION AND SIMILARITY SEARCH
Authors: YIN YIFANG
Keywords: sensor data, video retrieval, text annotation, similarity search, geo-metadata correction, multimodal analysis
Issue Date: 20-Jan-2016
Citation: YIN YIFANG (2016-01-20). GEO-REFERENCED VIDEO RETRIEVAL: TEXT ANNOTATION AND SIMILARITY SEARCH. ScholarBank@NUS Repository.
Abstract: THIS DISSERTATION STUDIES THE GEOGRAPHIC INFORMATION USE IN VIDEO ANNOTATION AND RETRIEVAL. ADVANCED TECHNOLOGIES IN CONSUMER ELECTRONIC PRODUCTS HAVE ENABLED INDIVIDUAL USERS TO RECORD, SHARE AND VIEW VIDEOS WITH MOBILE DEVICES. WITH THE VOLUME OF VIDEOS INCREASING TREMENDOUSLY ON THE INTERNET, FAST AND ACCURATE VIDEO SEARCH HAVE BECOME URGENT TASKS AND HAVE ATTRACTED MUCH RESEARCH ATTENTION. HOWEVER, VIDEO SEARCH AND MANAGEMENT OPERATIONS ARE TYPICALLY SUPPORTED BY EITHER THE LOW-LEVEL VISUAL FEATURES OR THE MANUAL TEXTUAL ANNOTATIONS. THOSE APPROACHES OFTEN SUFFER FROM LOW RECALL AS THEY ARE HIGHLY SUSCEPTIBLE TO CHANGES IN VIEWPOINT, ILLUMINATION, AND NOISY TAGS. BY LEVERAGING GEO-METADATA, MORE RELIABLE AND PRECISE SEARCH RESULTS CAN BE OBTAINED. DUE TO THE UBIQUITY OF SENSOR-EQUIPPED SMARTPHONES, IT HAS BECOME INCREASINGLY FEASIBLE FOR USERS TO CAPTURE VIDEOS TOGETHER WITH THE GEOGRAPHIC INFORMATION SUCH AS CAMERA LOCATION AND ORIENTATION. SUCH CONTEXTS CREATE NEW OPPORTUNITIES F
URI: http://scholarbank.nus.edu.sg/handle/10635/124126
Appears in Collections:Ph.D Theses (Open)

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