Recent development of digital photography and the use social media using smartphones has boosted demand for image query by its visual semantics. Content-Based Image Retrieval (CBIR) is a well-identified research area in domain video data analysis. The major challenges CBIR system are (a) to derive semantics (b) find all similar images from repository. objective this paper precisely define hybri...

Visual localization is widely used in autonomous navigation system and Advanced Driver Assistance Systems (ADAS). However, visual-based localization in seasonal changing situations is one of the most challenging topics in computer vision and the intelligent vehicle community. The difficulty of this task is related to the strong appearance changes that occur in scenes due to weather or season ch...

Visual content description is a key issue for machine-based image analysis and understanding. A good visual descriptor should be both discriminative enough and computationally efficient while possessing some properties of robustness to viewpoint changes and lighting condition variations. In this paper, we propose several new local descriptors based on color orthogonal local binary patterns comb...

Images have become main sources for the information, learning, and entertainment, but due to the advancement and progress in multimedia technologies, millions of images are shared on Internet daily which can be easily duplicated and redistributed. Distribution of these duplicated and transformed images cause a lot of problems and challenges such as piracy, redundancy, and content-based image in...