2011 18th IEEE International Conference on Image Processing 2011
DOI: 10.1109/icip.2011.6115623
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Virtual ads insertion in street building views for augmented reality

Abstract: This paper is proposing a new framework of virtual ads insertion for Augmented Reality (AR) in a specific real scene, building facades of the street view videos. In this framework, specific region detection, camera orientation estimation, visual tracking, motion filtering and virtual-real blending are discussed. For the building façade, vanishing points are fully identified to detect a rectangular planar structure. Meanwhile, dynamic registration and color harmonization are designed to improve visual acuity of… Show more

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Cited by 4 publications
(2 citation statements)
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“…In consequence, this is one of the most cost-effective forms of advertising available. Moreover, since current smartphones are equipped with a variety of embedded sensors like cameras, GPS or 3G/4G/5G, it is possible to get closer to the final user via a variety of Augmented Reality (AR) applications [ 5 ]. This way, the citizens using their smartphones can better develop and, perhaps, enjoy the contents associated with urban advertisements.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…In consequence, this is one of the most cost-effective forms of advertising available. Moreover, since current smartphones are equipped with a variety of embedded sensors like cameras, GPS or 3G/4G/5G, it is possible to get closer to the final user via a variety of Augmented Reality (AR) applications [ 5 ]. This way, the citizens using their smartphones can better develop and, perhaps, enjoy the contents associated with urban advertisements.…”
Section: Introductionmentioning
confidence: 99%
“…Some other related applications to be considered here are text and objects detection inside segmented billboard images [ 10 ] or the localization of billboards on streamed sport videos [ 11 ]. Another investigated problem is the insertion of virtual ads in street images based on localization of specific regions on them (e.g., buildings facades) [ 5 ]. Hussain et al in [ 12 ] more recently have worked on how to build vision systems so they can understand ads, and these authors have presented a solution for automatically understanding the advertisement content.…”
Section: Introductionmentioning
confidence: 99%