The current OCR cannot segment words and characters from video images due to complex
background as well as low resolution of video images. To have better accuracy, this paper …

Automatic TV commercial block detection (CBD) and commercial block segmentation (CBS)
are two key components of a smart commercial digesting system. In this paper, we focus our …

In the field of multimedia retrieval in video, text frame classification is essential for text
detection, event detection, event boundary detection, etc. We propose a new text frame …

The threshold segmentation technology is an important significance in image analysis and
image recognition. The Ostu Method is widely used for calculating effective, simple and …

Text information contains important clues for video analysis, indexing and retrieval. Effective
and efficient text extraction has been a challenging and significant topic. Focusing on this …

There is a growing body of work addressing the problem of localizing printed text regions
occurring in natural scenes, all of it focused on images in which the text to be localized is …

Embedded applications on mobile phones are reaching impressive goals thanks to the
current powerful smartphones. This work is focused on text recognition applications from …

Scene text in video contains semantic information and thus can contribute significantly to
video retrieval and understanding. However, most methods detect scene text in image or …

Video is one of the sources for presenting the valuable information. It contains sequence of
video images, audio and text information. Text data present in video contain useful …

This paper presents an algorithm for localization and classification of subtitles in TV videos.
We extend an existing static-region detector with object-based adaptive temporal filtering …