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A novel dataset for benchmarking image-based localization is presented. With increasing research interests in visual place recognition and localization, several datasets have been published in the past few years. One of the evident limitations of existing datasets is that precise ground truth camera poses of query images are not available in a meaningful 3D metric system. This is in part due to the...
The plagiarism is a debated topic in different fields and in particular in music, given the huge amount of money that music is able to generate. Moreover, it is controversial aspect in the law's field given the subjectivity of the judges that have to pronounce on a suspicious case. Automatic detection of music plagiarism is fundamental to overcome these limits by representing an useful support for...
This paper revisits visual saliency prediction by evaluating the recent advancements in this field such as crowd-sourced mouse tracking-based databases and contextual annotations. We pursue a critical and quantitative approach towards some of the new challenges including the quality of mouse tracking versus eye tracking for model training and evaluation. We extend quantitative evaluation of models...
Recent years have witnessed a resurgence of interest in video summarization. However, one of the main obstacles to the research on video summarization is the user subjectivity — users have various preferences over the summaries. The subjectiveness causes at least two problems. First, no single video summarizer fits all users unless it interacts with and adapts to the individual users. Second,...
This paper proposes an image quality assessment method based on visual saliency and gradient amplitude. Multi-scale decomposition is used, then with the analysis of the image's phase spectrum in frequency domain, the visual saliency map can be obtained. Meanwhile, the gradient amplitude map is obtained through analyzing the image's contrast feature. The weighted products of the visual saliency map...
MetricAttitude [18] is a visualization approach implemented in an environment that provides a mental picture of an object-oriented software by means of polymetric views of classes. In this paper, we describe a qualitative investigation we have conducted with a focus group involving developers aiming at evaluating their viewpoint on the relevance of the support MetricAttitude provides to perform comprehension...
In this paper we aim to assess students' visual behavior during problem solving. We propose to use the scan path metric to model the students' analytical reasoning process while solving medical cases. Fifteen participants were recruited for the experiment using an eye tracker to record their eye movements. Our preliminary results have implications for assessing novice clinicians' reasoning processe...
In this paper, a novel saliency map generation approach based on the saccade target theory is proposed. A probabilistic model of transsaccadic integration is built based on four cues that influence human visual attention: foveaperiphery resolution discrepancy, visual memory, oculomotor bias and inhibition of return (IOR), where visual memory is formulated as combination of the visual short-term memory...
Person re-identification is an important technique towards automatic search of a person's presence in a surveillance video. Two fundamental problems are critical for person re-identification:feature representation and metric learning. At present, there are many methods in the study of person re-identification, which has achieved remarkable results. Due to the difference of the data distribution in...
Fine-grained visual recognition aims to capture discriminative characteristics amongst visually similar categories. The state-of-the-art research work has significantly improved the fine-grained recognition performance by deep metric learning using triplet network. However, the impact of intra-category variance on the performance of recognition and robust feature representation has not been well studied...
This paper indicates the dataset and challenges evaluated under PETS2017. In this edition PETS continues the evaluation theme of on-board surveillance systems for protection of mobile critical assets as set in PETS 2016. The datasets include (1) the ARENA Dataset; an RGB camera dataset, as used for PETS2014 to PETS 2016, which addresses protection of trucks; and (2) the IPATCH Dataset; a multi sensor...
Duchenne muscular Dystrophy (DMD) Is a progressive muscle degenerative disease. Active hand assistive devices, can improve the quality of life of people with DMD. Such devices show a rejection rate due to complexity. Our hypothesis is, that a simple orthosis might prove more functional and realistic in assisting people with DMD. To investigate, we developed a portable setup that provides various visual...
Stereoscopic vision is a complex system which receives and integrates perceptual information from both monocular and binocular cues. In this paper, a novel reduced-reference stereoscopic image quality assessment scheme is proposed, based on the visual perceptual information measured by entropy of classified primitives (EoCP) and mutual information of classified primitives (MIoCP), named as DCprimary,...
Current motor assessment tools can provide numerical indicators of performance but do not provide actionable information to target further improvement in rehabilitation interventions. Psychophysics-based outcome measures show promise to provide more useful information in the laboratory environment but have been limited in clinical implementation. Here we present a constrained-time task to assess paced...
We propose a novel method for developing static storyboard for video clips included with biomedical research literature. The technique uses both visual and audio content in the video to select candidate key frames for the storyboard. From the visual channel, the Intra-frames are extracted using FFmpeg tool. IBM Watson speech-to-text service is used to extract words from the audio channel, from which...
The aim of Two-layer network visualization is to help users explore in the networks from the view of application requirement. The research abstracts applications and networks that carry them as business layer and carrier layer, which represent separately all kinds of business and service relationships among application entities and the path of information transmission in network world. A two-layer...
In many-objective optimization, the dimensionality of Pareto fronts becomes higher than three, and extracting preferable points for the decision maker is a key issue in the post-optimal analysis. The aim of this study is to develop a method to detect and visualize high-dimensional knee points. We propose a new definition of knee point and a graph-based approach to detect our knee points with a visualization...
In this paper, a new method with visual saliency detection for image quality assessment (IQA) is proposed. Through the experiments in this paper, we have verified the proposed method can be effective than most others.
In this work a preliminary study is proposed to assess the validity of an automatic and low cost measurement method for Functional ReachTest (FRT) implementation. To this aim FRT was performed on 10 trials of 4 healthy men and results from the system under validation are compared with the corresponding data from a calibrated stereo-photogrammetric system: the percentage variation between them is lower...
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