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This work aims to apply visual-attention modeling to attention-based video compression. During our comparison we found that eye-tracking data collected even from a single observer outperforms existing automatic models by a significant margin. Therefore, we offer a semiautomatic approach: using computer-vision algorithms and good initial estimation of eye-tracking data from just one observer to produce...
Semantic gap, which is the difference between low-level image features and their high-level semantics, has become very popular and witnessed great interest in the last two decades. This paper deals with this problem and proposes a hybrid approach to learn image semantic concepts for modeling visual features in discriminative learning stage. It combines the advantages of human-in-the-loop and discriminative...
Relational Database Management Systems (RDBMS) are keeping the most of the market share even after almost 40 years from there first release. Nevertheless, the variety of data imposed the enrichment of traditional RDBMS with a large variety of systems known as NoSQL. Visual query systems (VQSs) are query systems for databases that use visual representation of the structure of databases and the representation...
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