Time-Quality Tradeoff of MuseHash Query Processing Performance
摘要
Nowadays, large quantities of multimedia data are generated by various applications on smartphones, drones and other devices. Facilitating retrieval from these multimedia collections requires (a) effective media representation and (b) efficient indexing and query processing approaches. Recently, the MuseHash approach was proposed, which can effectively represent a variety of modalities, improving on previous hashing-based approaches. However, the interaction of the MuseHash approach with existing indexing and query processing approaches has not been considered. This paper provides the first systematic evaluation of the time-quality tradeoff that arises when MuseHash media representation is combined with state-of-the-art approximate nearest-neighbour indexes along multi-core and GPU processing.