tailieunhanh - Audio-based Event Detection for Sports Video

In this paper, we present an audio-based event detection approach shown to be effective when applied to the Sports broadcast data. The main benefit of this approach is the ability to recognise patterns that indicate high levels of crowd response which can be correlated to key events. By applying Hidden Markov Model-based classifiers, where the predefined content classes are parameterised using Mel-Frequency Cepstral Coefficients, we were able to eliminate the need for defining a heuristic set of rules to determine event detection, thus avoiding a two-class approach shown not to be suitable for this problem. Experimentation indicated that this is an effective method for classifying crowd response in Soccer matches,. | Audio-based Event Detection for Sports Video Mark Baillie and Joemon M. Jose Department of Computing Science University of Glasgow 17 Lilybank Gardens Glasgow G12 8QQ UK bailliem jj @ Abstract. In this paper we present an audio-based event detection approach shown to be effective when applied to the Sports broadcast data. The main benefit of this approach is the ability to recognise patterns that indicate high levels of crowd response which can be correlated to key events. By applying Hidden Markov Model-based classifiers where the predefined content classes are parameterised using Mel-Frequency Cepstral Coefficients we were able to eliminate the need for defining a heuristic set of rules to determine event detection thus avoiding a two-class approach shown not to be suitable for this problem. Experimentation indicated that this is an effective method for classifying crowd response in Soccer matches thus providing a basis for automatic indexing and summarisation. 1 Introduction With the continual improvement of digital video compression standards and the availability of increasingly larger more efficient storage space new methods for accessing and searching digital media have become possible. A simple example would be the arrival of digital set top devices such as TiVo 4 and Sky 16 that allow the consumer to record TV programmes straight to disk. Once stored users can manually bookmark areas of interest within the video for future reference. Other advancements include Digital TV where broadcasters have introduced interactive viewing options that present a wider choice of information to users. For example viewers of Soccer can now choose between multiple camera angles current game stats email expert panelists and browse highlights whilst watching a match. However in order to generate real time highlights it is necessary to log each key event as it happens a largely manual process. There has been a recent effort to automate the annotation of Sports .

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