Evaluating content-based retrieval (CBR) is challenging because it requires an adequate ground-truth. When the available groundtruth is limited to textual metadata such as pathological classes, retrieval results can only be evaluated indirectly, for example in terms of classification performance. In this study we first present a tool to generate perceived similarity ground-truth that enables di...

The Bag–of–Visual–Words (BoVW) is a visual description technique that aims at shortening the semantic gap by partitioning a low–level feature space into regions of the feature space that potentially correspond to visual concepts and by giving more value to this space. In this paper we present a conceptual analysis of three major properties of language grammar and how they can be adapted to the ...

The bag-of-words model is one of the most popular representation methods for object categorization. The key idea is to quantize each extracted key point into one of visual words, and then represent each image by a histogram of the visual words. For this purpose, a clustering algorithm (e.g., K-means), is generally used for generating the visual words. Although a number of studies have shown enc...

This paper proposes a selection method of foreground local features for generic object recognition in “bag of features”. Usually all local features detected from an given image are voted to a histogram of visual words in conventional bag-of-features method. But it may not be good choice because in the standard object recognition task, an image includes target regions and background regions. To ...

Copy-move forgery is a manipulation of copying and pasting specific patches from to an image, with potentially illegal or unethical uses. Recent advances in the forensic methods for copy-move have shown increasing success detection accuracy robustness. However, images high self-similarity strong signal corruption, existing algorithms often exhibit inefficient processes unreliable results. This ...

In this paper, we propose a visual tracking approach based on ‘bag of features’ (BoF) algorithm. First we use incremental PCA visual tracking (IVT) in the first few frames and collect image patches randomly sampled within the tracked object region in each frame for constructing the codebook; the tracked object then can be converted to a bag. Second we construct two codebooks using color (RGB) f...