Content-Based Image Retrieval Systems

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Reinforced Similarity Integration in Image-Rich Information Networks (2013, unknown): “Index Terms—Information retrieval, image mining, information network, ranking Ç”
Three-dimensional shape searching: state-of-the-art review and future trends (2005, unknown): “[23,34–39].”
Big Data for Remote Sensing: Challenges and Opportunities (2016, background): “This phenomenon is similar to the “semantic gap” observed in computer vision, i.e., the divergence be-tween the information coming from data and the knowledge interpreted by users [35].”
Partial Similarity of Objects, or How to Compare a Centaur to a Horse (2009, background): “Such criteria have been proposed for images (Stricker and Orengo 1995; Gudivada and Raghavan 1995; Chen and Wong 2003; Kim and Chung 2006), two-dimensional shapes (Bruckstein et al. 1992; Geiger et al. 1998, 2003; Latecki and Lakamper 2000; Cheng et al. 2001; Jacobs et al. 2000; Jacobs and Ling…”
Content-based image retrieval systems: A survey (2000, background): “A number of other overviews on image database systems, image retrieval, or multimedia information systems have been published, see e.g. [82], [28], [30], [36], [29], [21], [68], [10].”