This compensation technique bought us back 14 % of loss recall and an increase of 9 % accuracy over the baseline system. Finally, wrapping the retrieval system as an info service guarantees its practical deployment, asour target audiences are the majority of farmers in developing countries who are unable to reach modern farming information and knowledge. | TAÏP CHÍ PHAÙT TRIEÅN KH&CN, TAÄP 18, SOÁ T5- 2015 Hybrid operations for content-based Vietnamese agricultural multimedia information retrieval Pham Minh Nhut Pham Quang Hieu Luong Hieu Thi Vu Hai Quan University of Science, VNU-HCM (Received on 29 th 2015, accepted on October 20 th 2015) ABSTRACT Content-based multimedia information concepts and 6874 terms, with 5 retrieval is never a trivial task even with relationships, covering farming, plant state-of-the-art approaches. Its mandatory production, pests, etc. These ontologies challenge, called “semantic gap,” requires serve as a global linkage between keywords, much more understanding of the way human visual, and spoken features, as well as perceive things (., visual and auditory providing the reinforcement for the system information). Computer scientists have spent performances (., through query thousands of hours seeking optimal expansion, knowledge indexing ). On the solutions, only ended up falling in the bound other hand, constructing a visual-auditory of this gap for both visual and spoken intertwined search engine is a bit trickier. contexts. While an over-the-gap approach is Automatic transcriptions of audio channels unreachable, we insist on assembling are marked as the anchor points for the current viable techniques from both contexts, collection of visual features. These features, aligned with a domain concept base (., an in turn, got clustered based on the ontology), to construct an info service for the referenced thesauri, and ultimately tracking retrieval of agricultural multimedia out missing info induced by the speech information. The development process spans recognizer’s word error rates. This over three packages: (1) building a compensation technique bought us back 14 Vietnamese agricultural thesaurus; (2) % of loss recall and an increase of 9 % crafting a visual-auditory intertwined search accuracy over the baseline system. Finally, engine; and (3) system deployment as .
