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In this paper, we present a new multimedia retrieval paradigm to innovate large-scale search of heterogenous multimedia data. It is able to return results of different media types from heterogeneous data sources, e.g., using a query image to retrieve relevant text documents or images from different data sources. This utilizes the widely available data from(More)
Nowadays numerous social images have been emerging on the Web. How to precisely label these images is critical to image retrieval. However, traditional image-level tagging methods may become less effective because global image matching approaches can hardly cope with the diversity and arbitrariness of Web image content. This raises an urgent need for the(More)
This paper presents a novel Attribute-augmented Semantic Hierarchy (A<sup>2</sup> SH) and demonstrates its effectiveness in bridging both the semantic and intention gaps in Content-based Image Retrieval (CBIR). A<sup>2</sup> SH organizes the semantic concepts into multiple semantic levels and augments each concept with a set of related attributes, which(More)
In the above paper [1, p. 1679], the sentence " Yang et al. [?] integrated semisupervised learning and transfer learning techniques to exploit manually-labeled images for video tagging " Manuscript should have appeared as " Yang et al. [34] integrated semisuper-vised learning and transfer learning techniques to exploit manually labeled images for video(More)
Automatic media tagging plays a critical role in modern tag-based media retrieval systems. Existing tagging schemes mostly perform tag assignment based on community contributed media resources, where the tags are provided by users interactively. However, such social resources usually contain dirty and incomplete tags, which severely limit the performance of(More)
Binary coding or hashing techniques are recognized to accomplish efficient near neighbor search, and have thus attracted broad interests in the recent vision and learning studies. However, such studies have rarely been dedicated to Maximum Inner Product Search (MIPS), which plays a critical role in various vision applications. In this paper, we investigate(More)