Abstract. Detection of shot boundaries in a video has been an active for quite a long time, t ill the TRECVID co mmunity almost declared it as a solved problem. A problem is assumed to be solved when there is no significant improvement being achieved from that of the state-of-the art methodologies. However, certain aspects can still be researched and improved. For instance, finding appropriate parameters instead of emp irical thresholds to detect the shot boundaries is very challenging and is still being researched. In this paper, we present a fast, adaptive and non-parametric approach for detecting shot boundaries. Appearance based model is used to compute the difference between two subsequent frames. These frame distances, are then used to locate the shot boundaries. The proposed shot boundary detection algorithm uses an asymmetric region of support that automatically adapts to the shot boundaries. Experiments have been conducted to verify the effectiveness and applicability of the proposed method for adaptive shot segmentation.
Shot boundary detection based on Eigen coefficients and small Eigen value REF , presents an adaptive and non-parametric approach for shot boundary detection, without limiting itself to a specific type of shot transition.
Shot boundary detection based on Eigen coefficients and small Eigen value
SAMT
Computer Science