In content-based image retrieval (CBIR), the effectiveness of the low-level features depends on their capabilities in describing the high-level semantic concepts. How to properly evaluate such an effectiveness remains a challenge. In this paper, we address the evaluation problem by using the decisive feature patterns of the low-level features. Intuitively, a decisive feature pattern is a combin...

Trademarks work as significant responsibility in industry and commerce. Trademarks are important component of its industrial property, and violation can have severe penalty. Therefore designing an efficient trademark retrieval system and its assessment for uniqueness is thus becoming very important task now a days. Trademark image retrieval system where a new candidate trademark is compared wit...

Unsupervised feature learning has shown impressive results for a wide range of input modalities, in particular for object classification tasks in computer vision. Using a large amount of unlabeled data, unsupervised feature learning methods are utilized to construct high-level representations that are discriminative enough for subsequently trained supervised classification algorithms. However, ...

This paper proposes a novel solution for improving visual localization in an active fashion. The solution, based on artificial potential field, associates each feature in the current image frame with an attractive or neutral potential energy. The resultant action drives the vehicle towards the goal, while still favouring feature rich areas. Experimental results with a mini quadrotor equipped wi...

This paper presents FEAPI, an easy-to-use platform-independent plugin application programming interface (API) for the extraction of low level features from audio in PCM format in the context of music information retrieval software. The need for and advantages of using an open and well-defined plugin interface are outlined in this paper and an overview of the API itself and its usage is given.

This article presents a new system for automatically extracting high−level video concepts. The novelty of the approach lies in the feature fusion method. The system architecture is divided into three steps. The first step consists in creating sensors from a low−level (color or texture) descriptor, and a Support Vector Machine (SVM) learning to recognize a given concept (for example, "beach" or ...

the effect of low intensity laser radiation in the treatment of acute and chronic pain is now established in many studies. trigeminal neuralgia is a pain passes through nerve’s branches and its trigger is located in skin or mucosa that could lead to pain with a trigger stimulus. the pain involved branches of trigeminal nerve that sometimes has patients to seek the treatment for several years. n...

background: neuropathic pain (np) is a serious suffering medical condition that frequently leads to disability and life style changes. although the exact mechanisms of np are still unknown, recently the role of reactive oxygen species (ros) reported as an important factor for np. apoptosis, increase of atp production and reduction of antioxidants are also the other factors influencing in np. th...