Context-aware television-Internet mash-ups using logo detection and character recognition

摘要

An Internet-television mash-up application is a new concept for surfing the Internet and watching television simultaneously. This paper introduces one such system, which uses image processing techniques for logo detection and character recognition. The authors propose a home infotainment platform for Internet-television mash-up applications, which comprises three sub-systems. The first sub-system, television channel identity as context, creates a channel logo template, marks pixels of interest in regions of interest, and matches logos. The second sub-system, textual context from static pages in broadcast television, maps a priori regions of interest; pre-processes, binarizes, and segments touching characters; and automatically detects text using an optical character recognition engine. The third sub-system, textual context from text embedded in broadcast video, localizes suspected text regions, confirms text regions, binarizes, recognizes text, and selects keywords.