Time Stamp Detection and Recognition in Video Frames
نویسندگان
چکیده
Time stamp superimposed on the video frames can be used as indices for video indexing and retrieval systems. Some applications use it for speed detection of objects. In this paper, we propose a time stamp detection approach based on edge detection method. Furthermore, we apply temporal properties of video frames so that time stamp can be located quickly. We also propose our digit recognition module to test the performance. Experimental results show that our approach can detect time stamp location accurately. The proposed approach can discriminate between date and time, and it can extract time with sub-second of precision. The recognition rate is also high enough to be used practically.
منابع مشابه
Recognition of Visual Events using Spatio-Temporal Information of the Video Signal
Recognition of visual events as a video analysis task has become popular in machine learning community. While the traditional approaches for detection of video events have been used for a long time, the recently evolved deep learning based methods have revolutionized this area. They have enabled event recognition systems to achieve detection rates which were not reachable by traditional approac...
متن کاملHand Gesture Recognition from RGB-D Data using 2D and 3D Convolutional Neural Networks: a comparative study
Despite considerable enhances in recognizing hand gestures from still images, there are still many challenges in the classification of hand gestures in videos. The latter comes with more challenges, including higher computational complexity and arduous task of representing temporal features. Hand movement dynamics, represented by temporal features, have to be extracted by analyzing the total fr...
متن کاملAction Change Detection in Video Based on HOG
Background and Objectives: Action recognition, as the processes of labeling an unknown action of a query video, is a challenging problem, due to the event complexity, variations in imaging conditions, and intra- and inter-individual action-variability. A number of solutions proposed to solve action recognition problem. Many of these frameworks suppose that each video sequence includes only one ...
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 کاملشناسایی چهره در رشتههای ویدیویی با استفاده از افکنش متعامد با حفظ ساختار محلی
In this paper, attempting to improve the recognition rate and solve some problems such as pose, lighting variations and partial occlusion in video sequences using Orthogonal Locality Preserving Projection (OLPP). In this research, first of all face in video frames is detected for background removing. Then each set of images is distributed on a nonlinear manifold and clustered using appropriate ...
متن کامل