Audio-Assisted Video Browsing for DVD Recorders

2004 ◽  
pp. 27-33
Author(s):  
Ajay Divakaran ◽  
Isao Otsuka ◽  
Regunathan Radhakrishnan ◽  
Kazuhiko Nakane ◽  
Masaharu Ogawa
Keyword(s):  
Video Browsing

scholarly journals Multimodal surrogates for video browsing

1999 ◽  
Author(s):  
Wei Ding ◽  
Gary Marchionini ◽  
Dagobert Soergel
Keyword(s):  
Video Browsing

An Intention-Aware Interactive System for Mobile Video Browsing

2016 ◽  
Author(s):  
Jun He ◽  
Hanwang Zhang ◽  
Ling Shen ◽  
Richang Hong ◽  
Tat-Seng Chua
Keyword(s):  
Interactive System ◽  
Mobile Video ◽  
Video Browsing

scholarly journals Within and Between Shot Information Utilisation in Video Key Frame Extraction

2011 ◽  
Vol 10 (03) ◽  
pp. 247-259 ◽  
Author(s):  
Dianting Liu ◽  
Mei-Ling Shyu ◽  
Chao Chen ◽  
Shu-Ching Chen
Keyword(s):  
Extraction Method ◽  
Video Sequence ◽  
Video Retrieval ◽  
Video Browsing ◽  
High Quality ◽  
Key Frame Extraction ◽  
Key Frame ◽  
Video Shot ◽  
Key Frames ◽  
Candidate Set

In consequence of the popularity of family video recorders and the surge of Web 2.0, increasing amounts of videos have made the management and integration of the information in videos an urgent and important issue in video retrieval. Key frames, as a high-quality summary of videos, play an important role in the areas of video browsing, searching, categorisation, and indexing. An effective set of key frames should include major objects and events of the video sequence, and should contain minimum content redundancies. In this paper, an innovative key frame extraction method is proposed to select representative key frames for a video. By analysing the differences between frames and utilising the clustering technique, a set of key frame candidates (KFCs) is first selected at the shot level, and then the information within a video shot and between video shots is used to filter the candidate set to generate the final set of key frames. Experimental results on the TRECVID 2007 video dataset have demonstrated the effectiveness of our proposed key frame extraction method in terms of the percentage of the extracted key frames and the retrieval precision.

Content-Based Video Browsing with Collaborating Mobile Clients

2014 ◽  
pp. 402-406 ◽  
Author(s):  
Claudiu Cobârzan ◽  
Marco A. Hudelist ◽  
Manfred Del Fabro
Keyword(s):  
Video Browsing ◽  
Mobile Clients

OVIDIUS: A Web Platform for Video Browsing and Search

2012 ◽  
pp. 649-651 ◽  
Author(s):  
Andrei Bursuc ◽  
Titus Zaharia ◽  
Françoise Prêteux
Keyword(s):  
Video Browsing ◽  
Web Platform

Smart Video Browsing with Augmented Navigation Bars

2013 ◽  
pp. 88-98 ◽  
Author(s):  
Manfred Del Fabro ◽  
Bernd Münzer ◽  
Laszlo Böszörmenyi
Keyword(s):  
Video Browsing

NII-UIT-VBS: A Video Browsing Tool for Known Item Search

2013 ◽  
pp. 547-549 ◽  
Author(s):  
Duy-Dinh Le ◽  
Vu Lam ◽  
Thanh Duc Ngo ◽  
Vinh Quang Tran ◽  
Vu Hoang Nguyen ◽  
...  
Keyword(s):  
Video Browsing ◽  
Browsing Tool
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