This paper provides a new approach to recognize facial expressions. In this paper, facial expression recognition is based on appearance based features or we can say that low level features. We used two different approaches to categories the expression into seven different classes. These classifications based on Scale Invariant Feature Transform (SIFT) and Local Gabor Binary Filter (LGBP). First...

The IRIM group is a consortium of French teams working on Multimedia Indexing and Retrieval. This paper describes our participation to the TRECVID 2008 High Level Features detection task. We evaluated several fusion strategies and especially rank fusion. Results show that including as many low-level and intermediate features as possible is the best strategy, that SIFT features are very importan...

Semantic retrieval from video databases is becoming a very important research topic in the area of multimedia. This kind of tasks require the development of video data representation models which include the relationships between low-level visual cues and the semantic concepts inferred from them. This paper presents a work based on semiotic studies that includes the extraction of simple visual ...

Introduction Building robust low-level image representations, beyond edge primitives, is a long-standing goal in vision. In its most basic form, an image is a matrix of intensities. How we should progress from this matrix to stable mid-level representations, useful for high-level vision tasks, remains unclear. Popular feature representations such as SIFT or HOG spatially pool edge information t...

introduction: low-level laser therapy (lllt) is thought to have analgesic and biomodulatory effects. our objective was to assess the pain-relieving effect of lllt and possible changes in joint stiffness and disability of patients with knee osteoarthritis (koa) and compare it to the more commonly used modality; therapeutic ultrasound(us). methods: 37 patients with mild or moderate koa were rando...

low-power lasers are a group of lasers with a power less than 250 mw and unlike high-power lasers they have no effect on tissue temperature; they produce light-dependent chemical reactions in tissues. these lasers have analgesic features with their ability to trigger reactions that reduce pain and inflammatory mediators. low-power lasers can also be used instead of needles in acupuncture to dec...

Automatic creation of image descriptions, i.e. captioning images, is an important topic in artificial intelligence (AI) that bridges the gap between computer vision (CV) and natural language processing (NLP). Currently, neural networks are becoming increasingly popular images researchers looking for more efficient models CV sequence-sequence systems. This study focuses on a new caption generati...

We present a new system for the recognition of cursive handwriting that is based on a perceptive model and neural networks. At the high level, our system takes into account several psychological effects such as the word superiority effect. At the low level, it utilizes a global feature extraction method which models how some features might be preattentively detected by the human visual system. ...