MUVIS: a content-based multimedia indexing and retrieval framework
Serkan Kıranyaz, Kemal Çağlar, Esin Guldogan, Olcay Guldogan, Moncef Gabbouj · 2003
MUVIS is a series of CBIR systems. The first one has been developed in late 90s to support indexing and retrieval in large image databases using visual and semantic features such as color, texture and shape. During recent years, MUVIS has been reformed to become a PC-based framework, which supports indexing, browsing and querying of various multimedia types such as audio, video, audio/video interlaced and several image formats. MUVIS system allows real-time audio and video capturing, encoding by last generation codecs such as MPEG-4, H.263+, MP3 and AAC. It supports several audio/video file format such as AVI, MP4, MP3 and AAC. Furthermore, MUVIS system provides a well-defined interface for third parties to integrate their own feature extraction algorithms into the framework and for this reason it has recently been adopted by COST 211quat as COST framework for CBIR. In this paper, we describe the general system features with underlying applications and outline the main philosophy.