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The face has been used in identity documents and represents the ideal biometric characteristic in many applications. The International Civil Aviation Organization endorsed the use of face as the globally interoperable biometric characteristic. Successively, the International Standard Organization proposed the ISO/IEC 19794-5 standard for face usage in travel documents. The purpose of this work is...
Biometric is used to automate the measurement of biological data. The measurement and recording of the physical characteristics of an individual for the use in subsequent personal identification. Multimodal biometric authentication is system which uses two or more biometric trait. It provides more immunity against spoofing. To reduce feature vector size and to improve genuine acceptance rate proposed...
In this paper we present a framework for analyzing skin parameters from portrait images and videos. Using a series of Hierarchical Differential Image Filters (HDIF), it becomes possible to detect different skin features such as wrinkles, spots, and roughness. These detected features are used to compute skin ratings that are compared to actual ratings by dermatologists. Analyzing a database of 49 images...
In this paper, we analyze the effect of boosting in image quality assessment through multi-method fusion. On the contrary of existing studies that propose a single quality estimator, we investigate the generalizability of multi-method fusion as a framework. In addition to support vector machines that are commonly used in the multi-method fusion studies, we propose using neural networks in the boosting...
The main purpose of transfer learning is to resolve the problem of different data distribution, generally, when the training samples of source domain are different from the training samples of the target domain. Prediction of salient areas in natural video suffers from the lack of large video benchmarks with human gaze fixations. Different databases only provide dozens up to one or two hundred of...
We propose a geometrical method, applied over eye-specific features, to improve the accuracy of the art of eye-center localization. Our solution is built upon: (a) checking radially constrained gradient vectors, (b) adding weightage to iris specific features and (c) considering bi-directional image gradients to eliminate errors due to reflection on pupil. Our system outperforms the state of the art...
This paper presents a full-reference image quality estimator based on SIFT descriptor matching over reliability-weighted feature maps. Reliability assignment includes a smoothing operation, a transformation to perceptual color domain, a local normalization stage, and a spectral residual computation with global normalization. The proposed method ReSIFT is tested on the LIVE and the LIVE Multiply Distorted...
The recent popularity of smartphones causes significant increase of upskirt filming cases in many countries and regions. To search upskirt images in suspects' IT devices and block them on social media, an effective detector is demanded, but it is neglected by both academic and commercial communities. Three commercial pornographic image detectors and one detector distributed by the U.S. National Institute...
To facilitate computer analysis of visual art, in the form of paintings, we introduce Pandora (Paintings Dataset for Recognizing the Art movement) database, a collection of digitized paintings labelled with respect to the artistic movement. Noting that the set of databases available as benchmarks for evaluation is highly reduced and most existing ones are limited in variability and number of images,...
The characteristics like density of objects, their contrast with respect to surrounding background, their occlusion level and many more describe the context of the scene. The variation of the context represents ambiguous task to be solved by tracker. In this paper we present a new long term tracking framework boosted by context around each tracklet. The framework works by first learning the database...
Movie ratings and reviews at sites such as IMDb or Amazon are commonly used by moviegoers to decide which movie to watch or buy next. Currently, moviegoers base their decisions as to which movie to watch by looking at the ratings of movies as well as reading some of the reviews at IMDb or Amazon. This paper argues that there is a better way: reviewers movie scores and reviews can be analyzed with...
In this paper, we investigate the use of neural networks (NN) to detect weed plants in rice fields based on aerial images. For this purpose, images are taken at 50 meters high with 16.1 megapixels CMOS digital camera mount-ted on an autonomous electrical fixed wind plane. Then, an ortho-mosaic map of the field is created by stitching 250 pictures, as the image is ortho-corrected, the pixel information...
Story-related subject captions (SSCs) are the texts which are added to news videos to summarize the story. Compared to all types of caption texts (channel logo, scene locations, scrolling marquee, time, speaker names, audio subtitles, dates etc.), only SSCs describe the news stories and this is useful in news video analysis and retrieval systems. Different from most existing methods in the literature...
This paper presents a study case for color inspection in quality control applications using color descriptors histogram RGB-1D and histogram TSL and supervised machine learning methods such Support Vector Machine (SVM) and Artificial Neural Networks (ANN). For this, we build three annotated databases, and these are made using real application of quality control like color inspection in forages and...
A method of fish category recognition is proposed. Our novelty is in feature extraction technique, which is based on determining the curvature of the contour of fish image. The category recognition of test fish is done by a suitable linear multi-class SVM classifier. To apply our algorithm, we have developed a fish image database containing six different categories of fish. The overall accuracy of...
Traditional methods for image retrieval used metadata associated with images, commonly known as keywords. These methods empowered many World Wide Web (WWW) search engines and achieved reasonable amount of accuracy. A data base shape, color, texture of content based image retrieval (CBIR) and classification algorithm is based on the K-means clustering is proposed in this paper. The algorithm is found...
Gender estimation for security and forensic purposes is not a trivial task. Recently, researchers provided methods for predicting gender based on face-images, fingerprint ridge density, body shape, voice and gait. No research to date have been concerned with using one's image aesthetic preferences for predicting gender. Cognitively and psychologically, males and females have different visual aesthetic...
Concerning the diversity of packing filter rods' defect type and low efficiency of traditional artificial detection methods, in order to detect the defect more effectively, an approach to detect packing filter rods based on visual saliency was proposed. The images of packing filter rods were utilized to be clipped and high quality saliency cut, then to extract various effective saliency features to...
Plant seeds can be preserved for a long time. Long-term storage of seeds is very important for the continuity of life. Seed storage time heavily depends on plant species, seed maturation degree, preliminary processing, seed germination value and the moisture content. Environmental conditions such as temperature of the storage place, humidity, and light, or infestation of parasitic living beings; insects...
Many studies of material property estimation and material recognition have been conducted. Previous approaches evaluate the validity or usefulness of hand-designed image features. Thus, we propose a method to directly and naturally acquire image features for material perception using convolutional neural networks. Using a fine-tuned network, we achieved approximately the same recognition accuracy...
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