Visual saliency is an important characteristic of Human Visual System (HVS) that select the visually significant information from scenes. The salient objects stand out relative to their neighbourhood regions. Detecting and segmenting salient objects, also known as salient object detection is used to extract the most interesting object/objects in a scene and has resulted in many applications. There are many different methods to detect saliency known as visual attention models or saliency detection methods. In past few years many saliency detection methods have been proposed. One of the main objectives of the work is to perform a detail study in the field of Saliency detection by keeping focus on the different bottom-up computational models and the methods used to predict saliency. The work aims to analyze various solutions that aid the task of HVSs properties. This paper presents various saliency detection methods.
With the increasing use and demand of Big Data, Security has become the major concern. With the growth of cyberattacks, information safety has become an important issue all over the world. Prevention alone is not the solution for this; hence Intrusion Detection Systems have come into focus. . Intrusion refers to the hacking of the system or a network which poses a security risk to the private information of the organization. Intrusion detection systems (IDSs) are an essential element for network security infrastructure and play a very important role in detecting large number of attacks..This paper introduces a detailed analysis of the network security problems and also represents a review of the current research in Big Data intrusion detection systems. In this paper an attempt has been made to identify recent approaches used for intrusion detection in Big Data.
In spite of various biometric techniques like fingerprints, iris scan as well as hand geometry, the most efficient and more widely used one is face recognition. Face Recognition plays a major role in Biometrics. Face recognition is computer application capable of identifying or verifying a person from the image or video source. In comparison with other biometrics, the face has some main advantages such as good acceptability, low cost, and contactless acquisition. Face Recognition has received a great attention over the last few years because of it has many applications in various fields. In spite of rapid progress in this field it still has to overcome various challenges like Aging, Partial Occlusion, and Facial Expressions etc affecting the performance of the system. This paper reviews the basics of face recognition system, its recent techniques and challenges.
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