We present personalization aspects in information and video content retrieval and augmentation applications. Our goal is to explore the value of linking related content among different media such as TV and Web. Metadata extraction can make a great difference for personalized user experience. Annotations that provide title, genre, description, and cast can be greatly enriched with detailed information at subprogram level, i.e. at the scene and story level
Structured descriptions of multimedia content and automatically generated user profiles are used to ...
Up till now, there is no convenient way for users to interact with any kind of video data or video c...
Interactive television is one of the types of new media. Personalization of content (focus of person...
This paper is concerned with the topic of personalized news assembly at the set-top box, based on au...
This paper is concerned with the topic of personalized news assembly at the set-top box, based on au...
We present a content augmentation application that enhances the primary video watching experience by...
Abstract. The paper presents a survey of personalization approaches, ranging from personalized web s...
The GMF4iTV project is building an end-to-end broadcast system for providing interactivity of TV pro...
In this paper, we propose a content selection framework that improves the users` experience when the...
In this chapter we will introduce an example of the application of semantic multimedia technologies ...
In this project, we propose a distributed architecture which supports metadata extraction by explori...
The challenges of Personal Information Management (PIM) are proliferating with the ever-increasing a...
Recent growth in broadband access and proliferation of small personal devices that capture images an...
This deliverable describes the final LinkedTV framework that provides a set of possible enrichment r...
Abstract In this paper, we propose an MPEG-7 based video metadata model that supports personalizatio...
Structured descriptions of multimedia content and automatically generated user profiles are used to ...
Up till now, there is no convenient way for users to interact with any kind of video data or video c...
Interactive television is one of the types of new media. Personalization of content (focus of person...
This paper is concerned with the topic of personalized news assembly at the set-top box, based on au...
This paper is concerned with the topic of personalized news assembly at the set-top box, based on au...
We present a content augmentation application that enhances the primary video watching experience by...
Abstract. The paper presents a survey of personalization approaches, ranging from personalized web s...
The GMF4iTV project is building an end-to-end broadcast system for providing interactivity of TV pro...
In this paper, we propose a content selection framework that improves the users` experience when the...
In this chapter we will introduce an example of the application of semantic multimedia technologies ...
In this project, we propose a distributed architecture which supports metadata extraction by explori...
The challenges of Personal Information Management (PIM) are proliferating with the ever-increasing a...
Recent growth in broadband access and proliferation of small personal devices that capture images an...
This deliverable describes the final LinkedTV framework that provides a set of possible enrichment r...
Abstract In this paper, we propose an MPEG-7 based video metadata model that supports personalizatio...
Structured descriptions of multimedia content and automatically generated user profiles are used to ...
Up till now, there is no convenient way for users to interact with any kind of video data or video c...
Interactive television is one of the types of new media. Personalization of content (focus of person...