Обнаружение текстовых областей в видеопоследовательностях

В статье рассматривается задача обнаружения текстовых областей на неоднородном фоне в видео-последовательностях. Предлагается двухэтапная схема, алгоритм и методика обнаружения текстовых областей с использованием непрерывного вейвлет-преобразования с автоматическим выбором масштаба или итерационной обработкой с разными масштабами.У статті розглядається задача виявлення текстових областей на неоднорідному фоні в відеопослідовності. Пропонується двоетапна схема, алгоритм і методика виявлення текстових областей з використанням безперервного вейвлет-перетворення з автоматичним вибором масштабу або ітераційною обробкою з різними масштабами.In the article, the problem of text region detection on the non-uniform background in video frames is considered. The two-stage scheme, the algorithm and the technique of detection of text regions using a continuous wavelet transform with automatic scale selection or iteration processing at different scales are poposed

SCENE TEXT SEGMENTATION BY APPLYING TRIMMED MEDIAN FILTER USING ENERGETIC EDGE

This proposed method is an accurate and strong method for detecting texts in natural scene images. There are many cases that text regions are not clearly noTable.by background regions due to brightness or illumination variations. The proposed scene text finding process finds out the scene text contents from the natural scene images using the sophisticated edge revealing methods, the local directional number feature and linked map generation process. This proposed method takes natural scene image as input and detects the scene text regions. The detected scene text regions are marked for visual identification for human eyes

Novel Video Completion Approaches and Their Applications

Video completion refers to automatically restoring damaged or removed objects in a video sequence, with applications ranging from sophisticated video removal of undesired static or dynamic objects to correction of missing or corrupted video frames in old movies and synthesis of new video frames to add, modify, or generate a new visual story. The video completion problem can be solved using texture synthesis and/or data interpolation to fill-in the holes of the sequence inward. This thesis makes a distinction between still image completion and video completion. The latter requires visually pleasing consistency by taking into account the temporal information. Based on their applied concepts, video completion techniques are categorized as inpainting and texture synthesis. We present a bandlet transform-based technique for each of these categories of video completion techniques. The proposed inpainting-based technique is a 3D volume regularization scheme that takes advantage of bandlet bases for exploiting the anisotropic regularities to reconstruct a damaged video. The proposed exemplar-based approach, on the other hand, performs video completion using a precise patch fusion in the bandlet domain instead of patch replacement. The video completion task is extended to two important applications in video restoration. First, we develop an automatic video text detection and removal that benefits from the proposed inpainting scheme and a novel video text detector. Second, we propose a novel video super-resolution technique that employs the inpainting algorithm spatially in conjunction with an effective structure tensor, generated using bandlet geometry. The experimental results show a good performance of the proposed video inpainting method and demonstrate the effectiveness of bandlets in video completion tasks. The proposed video text detector and the video super resolution scheme also show a high performance in comparison with existing methods

Extraction of Text from Images and Videos

Ph.DDOCTOR OF PHILOSOPH