Title :
Semantic indexing of multimedia documents
Author :
Leonardi, Riccardo ; Migliorati, Pierangelo
Author_Institution :
Brescia Univ., Italy
Abstract :
We propose two approaches for semantic indexing of audio-visual documents, based on bottom-up and top-down strategies. We base the first approach on a finite-state machine using low-level motion indices extracted from an MPEG compressed bitstream. The second approach innovatively performs semantic indexing through Hidden Markov Models
Keywords :
database indexing; finite state machines; hidden Markov models; image processing; MPEG compressed bitstream; audio-visual documents; finite state machine; hidden Markov models; low-level motion indices; multimedia documents; semantic indexing; Cameras; Data mining; Event detection; Hidden Markov models; Indexing; Information retrieval; Layout; Multimedia databases; Navigation; Video sequences;
Journal_Title :
MultiMedia, IEEE
