体育视频的横幅广告搜索和计数系统

2011 International Conference on Consumer Electronics, Communications and Networks (CECNet) Pub Date : 2011-04-16 DOI:10.1109/CECNET.2011.5768189

Chueh-Wei Chang, Yu Hung Chang, Shio-Wen Chen

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引用次数: 1

摘要

电视广告的曝光频率对广告的定价非常重要。如果我们按人来计算这种曝光频率，将会非常耗时且容易出错。本文提出了一种搜索和统计体育视频中出现的横幅广告数量的方法，并设计了一个系统。使用颜色直方图和SURF (accelerated - up Robust Features)算法匹配预先指定的样本广告中的特征点，从而进行搜索。该搜索方法可以鲁棒地识别缩放和部分遮挡中的目标，同时达到接近实时的性能。这个系统在我们使用真实视频的实验中有效地工作了。

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A banner ads searching and counting system for sports videos

The ads exposure frequency in a TV is very important for the pricing of the advertising. If we count this exposure frequency by person, it will be very time consuming and error-prone. In this paper, we propose an approach and design a system for searching and counting the number of banner ads appearing in sports videos. The searching proceeds by matching feature points from pre-specified sample ads using the color histogram and the SURF (Speeded-Up Robust Features) algorithm. This searching approach can robustly identify objects among scaling and partial occlusion while achieving near real-time performance. This system worked effectively in our experiments using real videos.

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来源期刊

2011 International Conference on Consumer Electronics, Communications and Networks (CECNet)

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