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Content based image retrieval is a way of indexing or finding images in a database those are similar to a query image. This process uses visual contents of images and provides more effective management for automatic retrieval of images of interest than the traditional tagged based approach. In this paper, color and texture features are used as visual contents to retrieve similar images from the database...
Video surveillance has been widely used in many applications. Public safety and theft protections are most important uses of it. A system like this needs an efficient transmission and storage of the large video data. Key frame extraction is a simple and powerful system to accomplish this objective. Keyframe extraction also called as a summary of the video because it gives the only important content...
Source camera identification process plays a major role in digital image forensics, which identifies the source camera used for capturing the given image. The state-of-the-art methods for source camera identification are mainly based on identifying the demosaicing artifacts, sensor noise based artifacts or by using image features from spatial/frequency domain. This paper proposes a novel feature based...
Automatic image annotation methods automatically assign labels to images in order to facilitate tasks such as image retrieval, search, organizing and management. Incorrect labels may negatively influence the search results so image annotation should be as accurate as possible. Labels pertaining to objects or to whole scenes are commonly used for image annotation, and precision is especially important...
Interactive image segmentation is able to extract the user-specified foreground objects from the whole image, which remains to be a challenging problem in image processing and computer vision. The traditional pixel-based interactive segmentation is time-consuming and neglects the neighbor information, which is hard to achieve efficient and accurate results. To address this problem, a novel region-based...
Current medical practice for determining hemoglobin concentration (which is especially important for anemic patients in need of blood transfusion) involves frequent blood tests. In this work, we propose an alternative, non-invasive approach to hemoglobin estimation, based on image analysis of a specific conjunctival region. Our ultimate goal is to develop an easy-to-use wearable device that patients...
The exponential growth and proliferation of the MOOC platform in recent years has facilitated easy access to advanced learning materials in the form of video lectures across almost all major specializations. The ever expanding outreach of internet has further boosted the utility and attraction of this medium of learning across the globe. Handheld devices like i-pad and e-notebooks can be used to access...
Diabetic retinopathy is known to be one of the most frequent and serious eye diseases that typically cause blindness in adults between 20 and 60 years of age. Microaneurysm (MA) is one of the most important syndromes in color fundus images. A tool for automatic detection of MAs can significantly reduce the workload of the ophthalmologists. A multi-stage strategy to screen candidate MAs is used in...
With the development of multimedia technology and the explosive growth of video data, content-based video copy detection has attracted considerable attentions in the multimedia and the computer vision community. However, most video copy detection methods only focus on the contents of key frames and ignore their temporal context information. In this paper, we proposed to express the temporal context...
Whole-slide images (WSIs) are high-resolution, 2D, color digital images that are becoming valuable tools for pathologists in clinical, research and formative scenarios. However, their massive size is hindering their widespread adoption. Even though lossy compression can effectively reduce compressed file sizes without affecting subsequent diagnoses, no lossy coding scheme tailored for WSIs has been...
Thanks to the increasing number of images stored in the cloud, external image redundancies can be leveraged to efficiently compress images by exploiting inter-images correlations. In this paper, we propose a novel cloud-based image coding scheme. Unlike current state-of-the-art systems, our method relies on a data dimensionality reduction technique. A global compensation is associated to a locally-weighted...
Road Sign Detection (RSD) is becoming a major goal of the safety Advanced Driving Assistance Systems (ADAS). Automotive research area share many publications based various techniques used to detect and classify signs. This paper provides a hardware detection-based correlation architecture using Xilinx System Generator (XSG). This proposed architecture outsets with pre-processing step: RGB to YCrCb...
The quality and freshness of a fish sample is mainly affected due to the handling and storage conditions during the post harvesting period. The retention time and storage medium are the two main factors affecting the fish quality. This paper presents an image processing based method for automatic and efficient segmentation of gills from the fish sample image which can be used for fish freshness validation...
Digital image authentication under varying transmission and acquisition conditions is very challenging and efficient watermarking is an effective approach to solve this problem. In this paper, we propose a transform domain approach in YCbCr color space for enhancing the performance of a watermarking system, employing the unique combination of 2-Level Discrete Wavelet Transform (DWT), Discrete Fourier...
In the study on sports image classification, the characteristics of human pose increasingly raise concerns of researchers. However, the same posture for human may be resulted from different scenes and scene objects that express diverse action states and meanings. Thus, combination of human pose and event scenes shall be considered so as to improve performance of sports image classification. In recent...
The education process is a system covering input, process and output. Input is represented by the learners who will carry out the learning activities, the process is found in teaching and learning activities, and the output is the result of the process undertaken. In globalization era, the demand for qualified labor has become a major issue. One of the issues is high Cumulative Performance Index (CPI)...
The gray level co-occurrence matrix (GLCM) is widely used for textural feature extraction. The features obtained from GLCM matrix are subjected to the classifiers for the purpose of identification and classification. In this paper the combinations between different features, obtained from GLCM matrix, are studied. For experiments, the leaves of medicinal plants are considered, as proper identification...
Early warning systems are critical for saving human lives in the presence of structural failure. This is particularly relevant in mining operations in parts of the world with variable safety standards. To achieve this, affordable and robust structural health monitoring (SHM) is required. Photogrammetry is an image processing technique that can be used to measure deformation in geomechanical structures,...
Due to the development of hand-held Plenoptic cameras, the light filed camera has become more and more popular in recent years. The light field camera can capture the angular and depth information and is able to construct a stereoscopic image. To obtain a high quality reconstructed image, the disparity should be estimated accurately. However, for the sub-images taking from the light field camera,...
This paper proposes two new intra prediction methods for color image compression, which exploit the correlation between the base and non-base colors. The first method predicts a pixel in non-base color as a weighted sum of neighboring pixels, where the weights are determined as a function of photometric distances from the pixel to the neighboring ones in the base color. The second exploits the linear...
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