With the development of computer graphic techniques and smaller visual difference between photographic images (PG) and computer graphics (CG), splicing of computer graphics and photographic is becoming more common, which causes the need for automatically distinguishing computer generated images from real photographs. Based on several visual features that derived from color, texture and shape fe...

Automatic detection and classification of pollen species has value for use inside of palynologic allergen studies. Traditional labeling of different pollen species requires an expert biologist to classify particles by sight, and is therefore time-consuming and expensive. Here, an automatic process is developed which segments the particle contour and uses the extracted features for the classific...

In this paper we propose multimodal fusion of super resolved texture (SRT) features and 3D shape features with acoustic features for 3D audio-video person authentication systems with liveness checks. The proposed SRT features allow information related to non-rigid variations on speaking faces, such as expression lines, gestures, and wrinkles, enhancing the performance of the system against impo...

Due to the large amounts of multimedia data prevalent on the Web, Some images presents textural motifs while others may be recognized with colors or shapes of their content. The use of descriptors based on one’s features extraction method, such as color or texture or shape, for automatic image annotation are not efficient in some situations or in absence of the chosen type. The proposed approac...

Features from an image is known as Content-based Image Retrieval. Color, Texture and Shape are the major features of an image and play a vital role in the representation of an image..In this paper, a novel method is proposed to extract the region of interest(ROI) from an image,prior to extraction of salient features of an image.The image is subjected to normalization so that the noise component...

Image Retrieval system is an effective and efficient tool for managing large image databases. A content based image retrieval system allows the user to present a query image in order to retrieve images stored in the database according to their similarity to the query image. In this paper content based image retrieval method is used on digital image data set. The main objective of this paper is ...

It is well known that motion facilitates the visual perception of solid object shape, particularly when surface texture or other identifiable features (e.g., corners) are present. Conventional models of structure-from-motion require the presence of texture or identifiable object features in order to recover 3-D structure. Is the facilitation in 3-D shape perception similar in magnitude when sur...

Due to the rapid growth of image databases in almost every field like medical science, multimedia, geographical information system, photography, Journalism, etc., a effective and efficient technique is required to process the image .Content-based image retrieval is a technique which is used to extract the images on the basis of their content such as texture, color, shape and spatial layout. How...