计算机与现代化
計算機與現代化
계산궤여현대화
COMPUTER AND MODERNIZATION
2014年
2期
1-5
,共5页
广告检测%音频匹配%声谱图%哈尔特征%特征描述子%分界点%平滑
廣告檢測%音頻匹配%聲譜圖%哈爾特徵%特徵描述子%分界點%平滑
엄고검측%음빈필배%성보도%합이특정%특정묘술자%분계점%평활
commercials detection%audio-match%spectrogram%Haar-like feature%feature descriptor%bounding point%smooth
广告检测是指从电视节目中自动地检测出广告序列。传统方法使用基于计算机视觉算法的技术框架对视频内容进行广告检测,无法在性能和效率上满足商业化需求。本算法仅利用广告音频信息完成广告检测工作。首先抽取广告库的原始音频信息,使用短时傅里叶变换将其转化为声谱图,再应用预筛选的滤波器集合进行二值化,得到局部特征描述子,组成广告音频库;其次在广告检测过程中,以同样方法提取其特征描述子,在广告音频库中检索得到检测结果。基于音频匹配的广告检测算法具有存储小、准确度高、实时性强等诸多优点。实验表明该算法可以显著提高广告检测系统的鲁棒性和性能,可应用于现实场景中。
廣告檢測是指從電視節目中自動地檢測齣廣告序列。傳統方法使用基于計算機視覺算法的技術框架對視頻內容進行廣告檢測,無法在性能和效率上滿足商業化需求。本算法僅利用廣告音頻信息完成廣告檢測工作。首先抽取廣告庫的原始音頻信息,使用短時傅裏葉變換將其轉化為聲譜圖,再應用預篩選的濾波器集閤進行二值化,得到跼部特徵描述子,組成廣告音頻庫;其次在廣告檢測過程中,以同樣方法提取其特徵描述子,在廣告音頻庫中檢索得到檢測結果。基于音頻匹配的廣告檢測算法具有存儲小、準確度高、實時性彊等諸多優點。實驗錶明該算法可以顯著提高廣告檢測繫統的魯棒性和性能,可應用于現實場景中。
엄고검측시지종전시절목중자동지검측출엄고서렬。전통방법사용기우계산궤시각산법적기술광가대시빈내용진행엄고검측,무법재성능화효솔상만족상업화수구。본산법부이용엄고음빈신식완성엄고검측공작。수선추취엄고고적원시음빈신식,사용단시부리협변환장기전화위성보도,재응용예사선적려파기집합진행이치화,득도국부특정묘술자,조성엄고음빈고;기차재엄고검측과정중,이동양방법제취기특정묘술자,재엄고음빈고중검색득도검측결과。기우음빈필배적엄고검측산법구유존저소、준학도고、실시성강등제다우점。실험표명해산법가이현저제고엄고검측계통적로봉성화성능,가응용우현실장경중。
Commercials detection is to extract advertising sequence out of TV shows automatically .In traditional ways , it adopted algorithm based on computer vision technology framework to detect advertisement in terms of video content .But it wouldn ’ t meet the demands on performance or efficiency for commercial usage .The algorithm described here used only audio information for de-tection.It first extracted original audio information from video , then used short-time Fourier transform to transform it into a spec-trogram .And it applied binary threshold with a set of pre-boosting filters to get local feature descriptors .During the detect phase , it obtained descriptors in the same methods described above , and detected results in offline descriptor library .Audio-based detec-tion algorithm for commercials detection had smaller storage , higher accuracy , and better real-time.Experiments showed that this algorithm could significantly improve robustness and performance of commercials detection systems , and can be applied in reality .