2014
DOI: 10.1016/j.imavis.2014.08.004
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Automatic annotation of tennis games: An integration of audio, vision, and learning

Abstract: Fully automatic annotation of tennis game using broadcast video is a task with a great potential but enormous challenges. In this paper we describe our approach to this task, which integrates computer vision, machine listening, and machine learning. At the low level processing, we improve upon our previously proposed state-of-the-art tennis ball tracking algorithm and employ audio signal processing techniques to detect key events and construct features for classifying the events. At the high level analysis, we… Show more

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Cited by 26 publications
(6 citation statements)
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“…For instance, the use of domain experts’ to manually label data typically results in more truthful labeling, but it can be high-priced and time-consuming. In contrast, the use of fully automated labeling mechanisms can reduce time but may not be as precise as those delivered by a domain expert [ 20 , 21 , 22 ]. This study challenges the online and self-labeling scenarios in a realistic setting.…”
Section: Related Workmentioning
confidence: 99%
“…For instance, the use of domain experts’ to manually label data typically results in more truthful labeling, but it can be high-priced and time-consuming. In contrast, the use of fully automated labeling mechanisms can reduce time but may not be as precise as those delivered by a domain expert [ 20 , 21 , 22 ]. This study challenges the online and self-labeling scenarios in a realistic setting.…”
Section: Related Workmentioning
confidence: 99%
“…Automating the segmentation and labeling stages of annotation requires computational techniques to identify the segments in which the data of interest is contained [22], and a knowledge the database that contains all the possible data to be labeled. The automated annotation approach presented as a system in [23] integrates computer vision, audio processing and machine learning to produce automated annotations of tennis game videos. The work presented by [24] proposes the use of a number of automatic detection components to create layers of annotations that can be integrated in tools like ELAN, supporting the work of human annotators.…”
Section: Approaches To Data Labelingmentioning
confidence: 99%
“…Large variations of player appearances and partial occlusion are common issues not only for badminton but also for other racket sports, especially tennis, which has attracted much attention worldwide 11 improve the observation quality by removing occluders.…”
Section: Related Workmentioning
confidence: 99%