MiSPOT: dynamic product placement for digital TV through MPEG-4 processing and semantic reasoning

Authors:
Martín López-Nores;José J. Pazos-Arias;Jorge García-Duque;Yolanda Blanco-Fernández;Manuela I. Martín-Vicente;Ana Fernández-Vilas;Manuel Ramos-Cabrer;Alberto Gil-Solla
Affiliations:
University of Vigo, Telematics Engineering Department, Vigo, Spain;University of Vigo, Telematics Engineering Department, Vigo, Spain;University of Vigo, Telematics Engineering Department, Vigo, Spain;University of Vigo, Telematics Engineering Department, Vigo, Spain;University of Vigo, Telematics Engineering Department, Vigo, Spain;University of Vigo, Telematics Engineering Department, Vigo, Spain;University of Vigo, Telematics Engineering Department, Vigo, Spain;University of Vigo, Telematics Engineering Department, Vigo, Spain
Venue:
Knowledge and Information Systems
Year:
2010

Citing 22
Cited 5

Learning and Revising User Profiles: The Identification ofInteresting Web Sites

Machine Learning - Special issue on multistrategy learning
The MPEG-4 Book

The MPEG-4 Book
Hybrid Recommender Systems: Survey and Experiments

User Modeling and User-Adapted Interaction
ExpertClerk: A Conversational Case-Based Reasoning Tool forDeveloping Salesclerk Agents in E-Commerce Webshops

Artificial Intelligence Review
Exploiting hierarchical domain structure to compute similarity

ACM Transactions on Information Systems (TOIS)
A Taxonomy of Recommender Agents on theInternet

Artificial Intelligence Review
ITR: A Case-Based Travel Advisory System

ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Introduction to MPEG-7: Multimedia Content Description Interface

Introduction to MPEG-7: Multimedia Content Description Interface
Robust goal-mouth detection for virtual content insertion

MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Learning Feature Weights from Customer Return-Set Selections

Knowledge and Information Systems
Collaborative Filtering Using a Regression-Based Approach

Knowledge and Information Systems
A collaborative filtering framework based on fuzzy association rules and multiple-level similarity

Knowledge and Information Systems
Interactive TV Standards: A Guide to MHP, OCAP, and JavaTV

Interactive TV Standards: A Guide to MHP, OCAP, and JavaTV
Advertising Insertion in Sports Webcasts

IEEE MultiMedia
A quantitative analysis of product categorization standards: content, coverage, and maintenance of eCl@ss, UNSPSC, eOTD, and the RosettaNet Technical Dictionary

Knowledge and Information Systems
Image Description Using Scale-Space Edge Pixel Directions Histogram

SMAP '07 Proceedings of the Second International Workshop on Semantic Media Adaptation and Personalization
Provision of distance learning services over Interactive Digital TV with MHP

Computers & Education
A flexible semantic inference methodology to reason about user preferences in knowledge-based recommender systems

Knowledge-Based Systems
An MHP framework to provide intelligent personalized recommendations about digital TV contents

Software—Practice & Experience
Dynamic micro-targeting: fitness-based approach to predicting individual preferences

Knowledge and Information Systems
Handbook on Ontologies

Handbook on Ontologies
Semantic Image Segmentation and Object Labeling

IEEE Transactions on Circuits and Systems for Video Technology

Automatic Generation of Mashups for Personalized Commerce in Digital TV by Semantic Reasoning

EC-Web 2009 Proceedings of the 10th International Conference on E-Commerce and Web Technologies
Exploring synergies between digital tv recommender systems and electronic health records

Proceedings of the 8th international interactive conference on Interactive TV&Video
Automatic provision of personalized e-commerce services in Digital TV scenarios with impermanent connectivity

Expert Systems with Applications: An International Journal
An improvement for semantics-based recommender systems grounded on attaching temporal information to ontologies and user profiles

Engineering Applications of Artificial Intelligence
Property-based collaborative filtering for health-aware recommender systems

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

In an increasingly competitive market, stakeholders of the television industry strive to exploit all the possibilities to get revenues from advertising, but their practices are usually at odds with the comfort of the TV viewers. This paper presents the proof of concept of MiSPOT, a system that brings a non-invasive and fully personalized form of advertising to Interactive Digital TV, targeting both domestic and mobile receivers. MiSPOT employs semantic reasoning techniques to select advertisements suited to the preferences, interests and needs of each individual viewer, and then relies on multimedia composition abilities to blend the advertising material with the TV program he/she is viewing at any time. The advertisements can be set to launch interactive commercials, thus enabling means for the provision of t-commerce services. Evaluation experiments are described to show the technical viability of the proposal, and also to gauge the opinions of end users. Questions about the potential impact and exploitation of this new form of advertising are addressed too.