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This paper aims to develop an effective flower classification approach using the technology of feature extraction. With this regard, a fused descriptor based on Pyramid Histogram of Visual Words (PHOW) is used to extract the color, texture and contour information of flower image. Secondly, Dictionary Learning and Locality-constrained Linear Coding (LLC) are operated on PHOW feature and then images...
Visual attention has been successfully applied in structural prediction tasks such as visual captioning and question answering. Existing visual attention models are generally spatial, i.e., the attention is modeled as spatial probabilities that re-weight the last conv-layer feature map of a CNN encoding an input image. However, we argue that such spatial attention does not necessarily conform to the...
Bag-of-features (BoFs) representation has been extensively applied to deal with various computer vision applications. To extract discriminative and descriptive BoF, one important step is to learn a good dictionary to minimize the quantization loss between local features and codewords. While most existing visual dictionary learning approaches are engaged with unsupervised feature quantization, the...
Detection of visually salient regions is useful for applications like image adaptation, adaptive compression, image retrieval and so on. In this paper, a new bottom-up visual attention model (VAM) is proposed based on the spirit of cross-layer optimization in the field of communication. In this model, the local saliency and global saliency are firstly extracted based on the contrast of low-level features...
Review links are widely used in some special kinds of web pages, especially news pages. They are very useful pieces of information in many applications, such as hot topic discovery and public opinion monitoring. Unfortunately, extracting review links manually from news pages is time-consuming and error-prone. Though lots of works on web data extraction have been developed, we argue that this is still...
The rapid development of Web 2.0 bring the flourish of web reviews. Web reviews are usually released in form of structured records. As the important information source for many popular applications(e.g. monitoring and analysis of public opinion), review records need to be extracted accurately from web pages. To the best of our knowledge, little work in literatures has systemically investigated this...
In this paper, an intelligent control scheme based on remote gaze tracking is proposed. First, the eye-moving video of the user is captured by ordinary resolution camera under the illumination of near infrared light sources, then the images of the eye region and the pupil region are extracted by processing the video in real time. We process the image of the pupil region, and get the coordinates of...
Localization is of vital importance to a mobile vehicle system. Most of the existing algorithms are based on laser range finders, sonar sensors, artificial landmarks or GPS information. In this paper, we present a sequential probability location method for mobile vehicle, which uses scale-invariant image features as natural landmarks in unmodified environments. First, we construct a ground truth map...
In this work, we described a new two-stage hierarchical framework for mammogram retrieval. We tested the proposed approach on the reference library from USF-DDSM. For each query ROI (region of interest), the proposed scheme first computes its 14 texture and shape features, then the voting method based on five classifiers is used to classify the ROIs in the reference library, this phase eliminates...
This paper proposed a parallel particle filter algorithm with the help of GPU (Graphic Processing Unit) in face tracking. Due to illumination and occlusion problems, face tracking usually does not work stably based on a single cue. Three different visual cues, color histogram, edge orientation histogram and wavelet feature, are integrated under the framework of particle filter to improve the tracking...
Latent semantic indexing (LSI), as a popular textual information retrieval approach, has been used heavily for many years. However, the use of the approach in image retrieval has been limited. In this paper, a method of using LSI in combination with the salient image representation based on a saliency-based bottom-up visual attention computational model (VACM) motivated by visual physiological experimental...
Salient region of the image, which is composed of salient or interest points, is the most informative part of the image. In this paper, a saliency-based bottom-up visual attention computational model motivated by visual physiological experimental results is used to detect salient region and extract salient points of images. Meanwhile, a method to select number of the salient points to be extracted...
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