14thAnnual Conference of the International Speech Communication Association

Lyon, France
August 25-29, 2013

Indexing Multimedia Documents with Acoustic Concept Recognition Lattices

Diego Castan (1), Murat Akbacak (2)

(1) Universidad de Zaragoza, Spain
(2) Microsoft Research, USA

The amount of multimedia data is increasing every day and there is a growing demand for high-accuracy multimedia retrieval systems that go beyond retrieving simple events (e.g., detecting a sport video), to more specific and hard-to-detect events (e.g., a point in a tennis match). To retrieve these complex events, audio content features play an important role since they provide complementary information to image/video features. In this paper, we propose a novel approach where we employ an HMM-based acoustic concept recognition (ACR) system and convert resulting recognition lattices into acoustic concept indexes to represent multimedia audio content. Lattice indexes are created by extracting posterior-weighted N-gram counts from the ACR lattices and they are used as features in SVM-based classification for multimedia event detection (MED) task. We evaluate the proposed approach on the NIST 2011 TRECVID MED development set, which consists of user-generated videos from the internet. Proposed approach yields an Equal Error Rate (EER) of 31.6% on this acoustically challenging dataset (on a set of 5 video events) outperforming previously proposed supervised and unsupervised approaches on the same dataset (34.5% and 36.9% respectively).

Full Paper

Bibliographic reference.  Castan, Diego / Akbacak, Murat (2013): "Indexing multimedia documents with acoustic concept recognition lattices", In INTERSPEECH-2013, 2644-2648.