Viewing characteristics based personalized ad streaming in an interactive TV environment

Thawani, Amit; Gopalan, S.; Sridhar, V.

doi:10.1109/ccnc.2004.1286909

Cited by 16 publications

(19 citation statements)

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“…A personalization application for context-aware real-time selection and insertion of advertisements into live broadcast digital TV stream is proposed in [4]. This work is based on the aggregation of advertisement information (i.e., advertised products type, advertised products information) and its association with the current user context (identity, activity, agenda, past view) in order to determine the most appropriate advertisement to be delivered.…”

Section: A Context-aware Iptvmentioning

confidence: 99%

“…This score reflects the user's preference level to the input content at the current context. According to the scores of all the contents, the system could generate a recommendation list: (4) where is the output of the context value node ; is the weight for the connection between a node of context layer and the node of recommendation layer R. S is the final rating score for the input content.…”

Section: ) Dynamic Content Ordering Modulementioning

confidence: 99%

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Advanced IPTV Services Personalization Through Context-Aware Content Recommendation

Song

Moustafa

Afifi

2012

IEEE Trans. Multimedia

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The advances in Internet Protocol Television (IPTV) technology enable new user-centric and interactive TV model, in which context-awareness is promising in making users' interaction with the TV dynamic and transparent. This paper considers user-centric personalized IPTV services applying context-awareness. We present a solution for enriched IPTV services personalization introducing context-awareness on top of IPTV architecture to gather different information on the user and his environment allowing each user to be distinguished by the system in a unique and real-time manner. Based on the different context information gathered, a novel solution for content recommendation is presented allowing to customize IPTV content according to the context of each user and his environment and hence guaranteeing better users' experience. We implemented the proposed solution on top of an IPTV platform considering the NGN IPTV architecture as a proof of concept and as a mean to evaluate the performance.

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Section: A Context-aware Iptvmentioning

confidence: 99%

Section: ) Dynamic Content Ordering Modulementioning

confidence: 99%

Advanced IPTV Services Personalization Through Context-Aware Content Recommendation

Song

Moustafa

Afifi

2012

IEEE Trans. Multimedia

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“…The vADeo system performs scene detection and inserts the ads by face recognition [27]. These in-stream ads are similar to traditional commercials in the TV programs and Interactive Digital Television [11,28]. However, these in-stream ads may be intrusive to users as they usually interrupt the story.…”

Section: Related Workmentioning

confidence: 99%

AdOn: toward contextual overlay in-video advertising

et al. 2010

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This paper presents a contextual video advertising system, called AdOn, which supports intelligent overlay in-video advertising. Unlike most current ad-networks such as Youtube that overlay the ads at fixed locations in the videos (e.g., on the bottom fifth of videos 15 s in), AdOn is able to automatically detect a set of spatiotemporal non-intrusive locations and associate the contextually relevant ads with these locations. The overlay ad locations are obtained on the basis of video structuring, face and text detection, as well as visual saliency analysis, so that the intrusiveness to the users can be minimized. The ads are selected according to content-based multimodal relevance so that the relevance can be maximized. AdOn represents one of the first attempts towards contextual overlay video advertising by leveraging information retrieval and multimedia content analysis techniques. The experiments conducted on a video database with more than 100 video programs and 7,000 ad products indicated that AdOn is superior to existing advertising approaches in terms of ad relevance and user experience.

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“…A context-aware based advertisements (ads) insertion system is proposed in [1]. This work is based on the aggregation of past sequence of individual contexts (i.e.…”

Section: Contributions On Context-aware Based Interactive Servicesmentioning

confidence: 99%

Context-Aware IPTV

Song

Moustafa

Afifi

2009

Lecture Notes in Computer Science

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Abstract. The advances in IPTV technology enable a new user-centric and interactive TV model, in which context-awareness concept is promising in making users' interaction with the TV dynamic and transparent. In this paper we present several existing contributions that employ context-awareness concept to allow interactive services. Some of these contributions directly focus on TV, while others are proposed for specific NGN services. We analyze these contributions based upon some requirements that we define for enabling advanced IPTV services personalization.

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Viewing characteristics based personalized ad streaming in an interactive TV environment

Cited by 16 publications

References 1 publication

Advanced IPTV Services Personalization Through Context-Aware Content Recommendation

Advanced IPTV Services Personalization Through Context-Aware Content Recommendation

AdOn: toward contextual overlay in-video advertising

Context-Aware IPTV

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