当多媒体广告遇到新的互联网时代

Xiansheng Hua, Tao Mei, Shipeng Li
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引用次数: 23

摘要

媒体共享网站的出现,特别是伴随着所谓的Web 2.0浪潮,导致了前所未有的社区贡献媒体内容(如图像和视频)的互联网交付,这些内容已成为在线广告的主要来源。然而,传统的广告网络,如Google Adwords和AdSense,通过显示与查询或网页内容相关的广告,将图像和视频广告视为一般的文本广告,而不考虑自动将单个图像和视频的丰富内容货币化。在本文中,我们总结了在线广告的趋势,并提出了一种由引人注目的图像和视频内容驱动的创新广告模式。我们介绍了最近开发的ImageSense和VideoSense,分别作为图像和视频的两个示例应用程序,其中最相关的广告嵌入在图像或视频中最合适的位置。广告的选择不仅基于文本相关性,还基于视觉相似性,以便广告产生与网页中的文本和视觉内容的上下文相关性。基于视觉显著性分析检测广告插入位置,以尽量减少对用户的侵入性。我们还设想,多媒体广告的下一个趋势将是游戏式广告。
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When multimedia advertising meets the new Internet era
The advent of media-sharing sites, especially along with the so called Web 2.0 wave, has led to the unprecedented Internet delivery of community-contributed media contents such as images and videos, which have become the primary sources for online advertising. However, conventional ad-networks such as Google Adwords and AdSense treat image and video advertising as general text advertising by displaying the ads either relevant to the queries or the Web page content, without considering automatically monetizing the rich contents of individual images and videos. In this paper, we summarize the trends of online advertising and propose an innovative advertising model driven by the compelling contents of images and videos. We present recently developed ImageSense and VideoSense as two exemplary applications dedicated to images and videos, respectively, in which the most contextually relevant ads are embedded at the most appropriate positions within the images or videos. The ads are selected based on not only textual relevance but also visual similarity so that the ads yield contextual relevance to both the text in the Web page and the visual content. The ad insertion positions are detected based on visual saliency analysis to minimize the intrusiveness to the user. We also envision that the next trend of multimedia advertising would be game-alike advertising.
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