Title :
Feature Label Extraction of Online Video
Author :
Sun, Fudong ; Shi, Minyong ; Lin, Weiguo
Author_Institution :
Commun. Univ. of China, Beijing, China
Abstract :
This paper proposes online video feature label extraction method during the time when they were retrieved from the Internet. This method is used in an online video retrieving system to extract feature labels of a video clip automatically. By collecting attributes of videos, basic features are produced, and then capture the key frames of video. Create label templates, analyze and extract other features by matching the image analysis result in the template library to decide the feature labels of the online video clips.
Keywords :
Internet; feature extraction; image matching; video retrieval; Internet; feature analysis; image analysis result matching; label templates; online video clips; online video feature label extraction method; online video retrieving system; template library; Feature extraction; Histograms; Image analysis; Image color analysis; Libraries; Shape; Sun; image analysis; label template; video attribute;
Conference_Titel :
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-0689-8
DOI :
10.1109/ICCSEE.2012.234
