基于压缩感知的视频台标识别研究

doi:10.3969/j.issn.1671-1122.2015.05.012

信息网络安全 ›› 2015, Vol. 15 ›› Issue (5): 77-81.doi: 10.3969/j.issn.1671-1122.2015.05.012

基于压缩感知的视频台标识别研究

徐杰(), 贺敏, 包秀国

国家计算机网络与信息安全管理中心,北京100029

收稿日期:2015-03-13 出版日期:2015-05-10 发布日期:2018-07-16
作者简介:
作者简介：徐杰（1982-）,男,山西,工程师,博士,主要研究方向：多媒体技术和网络信息安全;贺敏（1982-）,女,山西,工程师,硕士,主要研究方向：网络信息安全;包秀国（1963-）,男,江苏,教授级高工,博士,主要研究方向：网络信息安全。
基金资助:
国家自然科学基金[61402123];国家科技支撑计划[2012BAH42B01]

Research on TV Logo Detection Based on Compressive Sensing

Jie XU(), Min HE, Xiu-guo BAO

National Computer Network and Information Security Administrative Center, Beijing 100029, China

Received:2015-03-13 Online:2015-05-10 Published:2018-07-16

摘要/Abstract

摘要：

视频台标内嵌于复杂的背景中,而且通常具有镂空和半透明的特点。针对传统的视频台标识别技术存在图像特征提取困难、匹配算法复杂以及特征维数灾难等问题,文章提出一种基于压缩感知的方法来快速有效识别视频台标。该方法直接利用原始像素进行识别,不仅回避了图像特征提取的难题,而且对于识别镂空的、半透明的台标具有较好的鲁棒性。实验证明,该方法对单帧视频中的台标进行识别时,平均识别时间在35ms以内,同时识别准确率能达到98%以上。

关键词: 压缩感知, 台标, 视频识别

Abstract:

TV logo is embedded in complex background, and usually has hollow and translucent characteristics. There are many defects in the conventional TV logo detection techniques such as the complexities of image features extraction and matching algorithm as well as the characteristic dimension curse, so this paper proposes a method based on compressive sensing to quickly and efficiently identify the TV logo. This method directly processes raw pixels, not only avoiding the difficulty of features extraction, but also having good robustness for hollow and translucent logos. Experiment shows that when identifying TV logo in a single frame, the average recognition time is within 35ms, while recognition accuracy rate can reach more than 98%.

Key words: compressive sensing, TV logo, video detection

中图分类号:

TP309

徐杰, 贺敏, 包秀国. 基于压缩感知的视频台标识别研究[J]. 信息网络安全, 2015, 15(5): 77-81.

Jie XU, Min HE, Xiu-guo BAO. Research on TV Logo Detection Based on Compressive Sensing[J]. Netinfo Security, 2015, 15(5): 77-81.

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基于压缩感知的视频台标识别研究

Research on TV Logo Detection Based on Compressive Sensing

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