Overlay Text Detection in Complex Video Background
نویسندگان
چکیده
The subtitles on video are very useful for us to understand video's contents. If we can extract text information from the subtitles, it will be very helpful to establish a database of video’s content that includes annotations and indexes. To extract text from videos, most text detection and extraction methods use the text color, background contrast, and texture information. However, the limitations of the existing methods are various contrasts and complex backgrounds in the text processing. The purpose of this study is to develop a method to detect overlay text in the complex video background. This study utilized the characteristics that there are transient color changes existing between text and its adjacent background, to generate transition maps. And this work applied the connected components to smooth the connected rectangular shapes. The study results demonstrated that the text detection method based on the transition map can effectively detect the text regions under different text contrasts, fonts and background complexities.
منابع مشابه
Improving text recognition by distinguishing scene and overlay text
Video texts are closely related to the content of a video. They provide a valuable source for indexing and interpretation of video data. Text detection and recognition task in images or videos typically distinguished between overlay and scene text. Overlay text is artificially superimposed on the image at the time of editing and scene text is text captured by the recording system. Typically, OC...
متن کاملImproved text overlay detection in videos using a fusion-based classifier
In this paper, classifier fusion is adopted to demonstrate improved performance for our text overlay detections in the NIST TREC-2002 Video Retrieval Benchmark. A normalized ensemble fusion is explored to combine two text overlay detection models. The fusion incorporates normalization of confidence scores, aggregation via combiner function, and an optimize selection. The proposed fusion classif...
متن کاملSIDF: A Novel Framework for Accurate Surgical Instrument Detection in Laparoscopic Video Frames
Background and Objectives: Identification of surgical instruments in laparoscopic video images has several biomedical applications. While several methods have been proposed for accurate detection of surgical instruments, the accuracy of these methods is still challenged high complexity of the laparoscopic video images. This paper introduces a Surgical Instrument Detection Framework (SIDF) for a...
متن کاملآشکارسازی و تعیین مکان متون فارسی - عربی در تصاویر ویدیویی
Video text detection plays an important role in applications such as semantic-based video analysis, text information retrieval, archiving and so on. In this paper, we propose a Farsi/Arabic text detection approach. First, with an appropriate edge detector, edges are extracted and then by using edges cross ponts, artificial corners are extracted. Artificial corner histogram analysis is done for ...
متن کاملA Review on “Implementation of Real-time Image and Video Processing, and AR on Mobile Devices”
This paper reviews some improved implementations of real-time image and video processing on Face Detection and Augmented Reality fields to be used on mobile platforms. A review of different techniques to surmount the constraints of lower memory, processing speed, connectivity, etc., on hand held devices. In the section of Face Detection, we review some optimization steps, e.g. Key frame and Loo...
متن کامل