Keyframe-Based Video Summary Using Visual Attention Clues Page 1 Keyframe-Based Video Summary Using Visual Attention Clues Jiang Peng and Qin Xiao-Lin Nanjing University of …
C Liu, PC Yuen, G Qiu - Pattern Recognition, 2009 - Elsevier
This paper proposes to employ the visual saliency for moving object detection via direct analysis from videos. Object saliency is represented by an information saliency map (ISM) …
We present a key frames selection algorithm based on three iso-content principles (iso- content distance, iso-content error and iso-content distortion), so that the selected key …
Video summarisation techniques aim to abstract the most significant content from a video stream. This is typically achieved by processing low-level image, audio and text features …
We present an approach to key frame extraction for structuring user generated videos on video sharing Websites (eg YouTube). Our approach is intended to link existing image …
In this paper, we provide detailed descriptions of a proposed new algorithm for video summarization, which are also included in our submission to TRECVID'08 on BBC rush …
Y Gao, WB Wang, JH Yong, HJ Gu - Multimedia Tools and Applications, 2009 - Springer
The mushroom growth of video information, consequently, necessitates the progress of content-based video analysis techniques. Video summarization, aiming to provide a short …
J Ren, J Jiang, J Chen - … on Circuits and Systems for Video …, 2009 - ieeexplore.ieee.org
Shot boundary detection (SBD) plays important roles in many video applications. In this letter, we describe a novel method on SBD operating directly in the compressed domain …
V Chasanis, A Likas, N Galatsanos - Pattern Recognition Letters, 2009 - Elsevier
Video shot detection is an important contemporary problem since it is the first step towards indexing and content based video retrieval. Traditionally, video shot segmentation …