Real-Time LDCRF-Based Method for Inferring TV Viewer Interest

Author

Naemura, M. ; Clippingdale, S. ; Takahashi, Masaharu ; Okuda, Masumi ; Yamanouchi, Yuko ; Fujii, Masahiro

Author_Institution

Japan Broadcasting Corp. (NHK), Tokyo, Japan

fYear

2013

fDate

2-5 Sept. 2013

Firstpage

485

Lastpage

491

Abstract

Context-awareness provides users with more versatile user interface environments when using digital devices. In a TV viewing environment, context-awareness techniques can be used for recommending useful information related to the viewed program. To incorporate a user´s preference in doing so, it is vital to infer whether the viewer is actually interested in the TV program. Therefore, we propose a method for inferring viewer interest in a TV program. In the proposed method, we regard the problem of inferring viewer interest as a sequential labeling problem and solve it by applying latent dynamic conditional random fields to data sequences generated by integrating the operational log information of user interaction and visual information of viewer behaviors.

Keywords

digital television; human factors; random processes; ubiquitous computing; user interfaces; TV program; TV viewer interest; TV viewing environment; context-awareness techniques; data sequences; digital devices; latent dynamic conditional random fields; operational log information; real-time LDCRF-based method; sequential labeling problem; user interaction; user preference; versatile user interface environments; viewer behaviors; visual information; Context; Equations; Face; Foot; Mathematical model; TV; Training; Conditional Random Fields; context-aware system; detection of individual interest; smart TV interface;

fLanguage

English

Publisher

ieee

Conference_Titel

Affective Computing and Intelligent Interaction (ACII), 2013 Humaine Association Conference on

Conference_Location

Geneva

ISSN

2156-8103

Type

conf

DOI

10.1109/ACII.2013.86

Filename

6681477