@MISC{Wan_anefficient, author = {Kongwah Wan and Xinguo Yu}, title = {AN EFFICIENT ANNOTATION SYSTEM FOR SOCCER VIDEO}, year = {} }
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Abstract
We present an efficient soccer video annotation system that combines automatic meta-data extraction and indexing tools with standard-compliant components such as open source XML, database and web-based JSP. Video frames are first processed to segment the shot boundaries. Additional multi-modal shot attributes are then computed. For visual, we extract the camera field-view movement to track the location of play relative to the soccer field. For audio, we detect excitatory commentator speech segments. Together with the shot key-frame, we can quickly browse the video for segments of interest, using an annotation GUI to key in textual entries conforming to the MPEG-7 standard. A client web-browser can access the enriched content by: (1) browsing from a chronological index; (2) searching for video segments based on player or event name; (3) a game summary in video and text. Subjective tests show that using our annotation system over an alternative one, a higher quality of video skim is obtained.