Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.
DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.
This paper presents a fast and robust algorithm to identify text in image or video frames with complex backgrounds and compression effects. The algorithm first extracts the candidate text line on the basis of edge analysis, baseline location and heuristic ...
A method for segmenting and recognizing text embedded in video and images is proposed in this paper. In the method, multiple segmentation hypotheses of text image are first generated based on a MRF model. Background regions in each hypothesis are then remo ...
Text embedded in images and videos represents a rich source of information for content-based indexing and retrieval applications. In this paper, we present a new method for localizing and recognizing text in complex images and videos. Text localization is ...
A method for segmenting and recognizing text embedded in video and images is proposed in this paper. In the method, multiple segmentation hypotheses of text image are first generated based on a MRF model. Background regions in each hypothesis are then remo ...
IDIAP2002
, ,
In this paper we propose a method to segment and recognize text embedded in video and images. We modelize the gray level distribution in the text images as mixture of gaussians, and then assign each pixel to one of the gaussian layer. The assignment is bas ...
In this paper we propose a method to segment and recognize text embedded in video and images. We modelize the gray level distribution in the text images as mixture of gaussians, and then assign each pixel to one of the gaussian layer. The assignment is bas ...
IDIAP2002
,
In this paper we propose a method for classifying regions of images and videos frames into text and non-text regions using support vector machine (SVM). Different features are proposed to characterise the texture formed by text characters and background. S ...
This paper presents a video OCR system that automatically extracts closed captions from video frames as keywords (or as we called "cues") for building annotations of sport videos. In this system, text regions that contain closed captions are first identifi ...
One of the difficulties of extracting text contained in images or videos comes from the variation of the grayscale values of the text and backgrounds. In this paper we propose a new method to normalize the contrast between text characters and backgrounds s ...
This paper presents a probabilistic algorithm for segmenting text embedded in video based on Monte Carlo sampling. The algorithm approximates the posterior of segmentation thresholds of video text by a set of weighted samples, referred to as particles. The ...
