A complete framework for temporal video segmentation
Ruxandra Țapu, Titus B. Zaharia · 2011
In this paper we propose a complete high level segmentation algorithm of video flows into scenes. In the first stage of our implementation we detected shot boundaries using an enhanced graph partition method based on non-linear scale space filtering at reduce computational time. In the second phase we develop static summaries for each detected shot based on a leap extraction technique that selects a variable number of keyframes depending on the visual content variation. Finally, we propose an iterative, temporally constrained shot clustering technique that detects video scenes with an average precision and recall rates of 85% and 84%.