A Video Segmentation and Key Frame Extraction Method for Compressed Video Stream
نویسندگان
چکیده
منابع مشابه
Spatial Analysis in Key-frame Extraction Using Video Segmentation
Though being a vital part of video indexing and retrieval systems, key-frame extraction algorithms have been based mainly on the analysis of various frame similarities and their later clustering. This work broadens the spectra of the analysis by focusing on the spatio-temporal region relations present in the scene to determine the most representative frame in the shot. It applies efficient vide...
متن کاملEfficient Key-Frame Extraction and Video Analysis
Content based video indexing and retrieval has its foundations in the analyses of the prime video temporal structures. Consequently, technologies for video segmentation and key-frame extraction have become crucial for the development of advanced digital video systems. Conventional algorithms for video partitioning and keyframe extraction are mainly implemented autonomously. By focusing the anal...
متن کاملA Novel Key-Frame Extraction Approach for Both Video Summary and Video Index
Existing key-frame extraction methods are basically video summary oriented; yet the index task of key-frames is ignored. This paper presents a novel key-frame extraction approach which can be available for both video summary and video index. First a dynamic distance separability algorithm is advanced to divide a shot into subshots based on semantic structure, and then appropriate key-frames are...
متن کاملCompressed Domain Video Segmentation
Segmentation of video into shots and scenes in the compressed domain allows rapid, real-time analysis of video content using standard hardware. This paper presents robust techniques for parsing MPEG-compressed video sequences into shots based on their physical structure and further into scenes based on their semantic structure by identifying changes in content and camera motion. The analysis is...
متن کاملRobust Key Frame Extraction for 3D Reconstruction from Video Streams
Automatic reconstruction of 3D models from video sequences requires selection of appropriate video frames for performing the reconstruction. We introduce a complete method for key frame selection that automatically avoids degeneracies and is robust to inaccurate correspondences caused by motion blur. Our method combines selection criteria based on the number of frame-to-frame point corresponden...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: DEStech Transactions on Computer Science and Engineering
سال: 2018
ISSN: 2475-8841
DOI: 10.12783/dtcse/cimns2017/17415