Shot boundary detection is the first task of automatic video indexing. It is well known that all subsequent processes, such as video segmentation, video skimming as presented in V. Di Lecce et al. (1999), key frame extraction and video indexing, start from accurate shot boundary detection. In the proposed paper the authors are investigating the possibility of using textual string extracted from the frame images, according to NS Chang and KS Fu (1980), for shots identification. The results are comparable with other well known methods in cutting scene but they are more promising in detection of slow change for example in tilt, dolly, and pan
Shot Detection Using A Syntactic Approach To The Frame Structure / Amato, A.; Di Lecce, V.. - STAMPA. - (2003), pp. 718-720. (Intervento presentato al convegno 46th IEEE International Midwest Symposium on Circuits & Systems, MWSCAS 2003 tenutosi a Cairo, Egypt nel December 27-30, 2003) [10.1109/MWSCAS.2003.1562387].
Shot Detection Using A Syntactic Approach To The Frame Structure
V. Di Lecce
2003-01-01
Abstract
Shot boundary detection is the first task of automatic video indexing. It is well known that all subsequent processes, such as video segmentation, video skimming as presented in V. Di Lecce et al. (1999), key frame extraction and video indexing, start from accurate shot boundary detection. In the proposed paper the authors are investigating the possibility of using textual string extracted from the frame images, according to NS Chang and KS Fu (1980), for shots identification. The results are comparable with other well known methods in cutting scene but they are more promising in detection of slow change for example in tilt, dolly, and panI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
