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When multimedia advertising meets the new Internet era

机译:当多媒体广告符合新的互联网时代

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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.
机译:的媒体分享网站的出现,尤其是所谓的Web 2.0的浪潮一起,导致了空前的互联网交付的社区贡献的媒体内容,如图片和视频,这已经成为网络广告的主要来源。然而,传统的广告网络,如谷歌的Adwords和AdSense对待图像和视频广告通过显示或者相关的查询或网页内容的广告,不考虑货币化自动单个图像和视频的内容丰富,一般的文字广告。在本文中,我们总结了在线广告的发展趋势,并提出通过图像和视频的内容引人注目驱动的创新广告模式。我们提出最近开发ImageSense和VideoSense作为献给分别图像和视频,其中大部分内容相关的广告嵌入在图像或视频中最合适的位置上的两个示范性应用。这些广告不仅基于文本的相关性,而且视觉上的相似选择,使广告产生情境相关度在网页文本和视觉内容。基于视觉显着性分析,以最小化侵入到用户检测到广告插入位置。我们还设想,多媒体广告的未来趋势将是游戏一样广告。

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