Abstract : In this work we propose a versatile approach to an automatic video summarization problem. In contrast to rigid schemes it allows a user to specify his preferences concerning desirable content of a summary by imposing constraints on the video segments features. Multiple signal-level and semantic-level features extracted from both the audio and the video streams are combined in this way in order to select relevant video fragments for a summary. As these fragments are selected globally for the whole video, some higher level semantic segments may be missed in the summary. To avoid this, amodified technique is proposed that generates a kind of a summary which we call a digest that preserves the semantic structure of the video.
Type de document :
Communication dans un congrès
RIAO '04 Coupling approaches, coupling media and coupling languages for information retrieval , Apr 2004, Vaucluse, France. ACM, pp.18-24, 2004
https://hal.archives-ouvertes.fr/hal-01588367
Contributeur : Équipe Gestionnaire Des Publications Si Liris
<>
Soumis le : vendredi 15 septembre 2017 - 15:22:28
Dernière modification le : jeudi 19 avril 2018 - 14:38:03
Vyacheslav Parshin, Liming Chen. Video Summarization Based on User-defined Constraints and Preferences. RIAO '04 Coupling approaches, coupling media and coupling languages for information retrieval , Apr 2004, Vaucluse, France. ACM, pp.18-24, 2004. 〈hal-01588367〉
