Xiangang Cheng

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—This paper presents an efficient and effective solution for retrieving image near-duplicate (IND) from image database. We introduce the coherent phrase model which incorporates the coherency of local regions to reduce the quantization error of the bag-of-words (BoW) model. In this model, local regions are characterized by visual phrase of multiple(More)
The current volume of videos available for distribution or viewing on the internet is increasing exponentially, there is an urgent need for designing effective and efficient video management systems. However, due to the tremendous amounts of video data, it is highly likely that any large scale video systems will provide query results with near-duplicates(More)
Retinal landmark detection is a key step in retinal screening and computer-aided diagnosis for different types of eye diseases, such as glaucomma, age-related macular degeneration(AMD) and diabetic retinopathy. In this paper, we propose a semantic image transformation(SIT) approach for retinal representation and automatic landmark detection. The proposed(More)
Keywords: Large-scale dataset Concept prediction Mid-level visual feature Concept-tag co-occurrence matrix K-nearest neighbor Tag understanding Precision and Recall Grouping a b s t r a c t This paper focuses on improving the semi-manual method for web image concept annotation. By sufficiently studying the characteristics of tag and visual feature, we(More)
The macula is the part of the eye responsible for central high acuity vision. Detection of the macula is an important task in retinal image processing as a landmark for subsequent disease assessment, such as for age-related macula degeneration. In this paper, we have presented an approach to automatically determine the macula centre in retinal fundus(More)