Article history: Article Received : 12 January 2015 Revised: 1 May 2015 Accepted: 8 May 2015

Visual annotation is still an open issue. The Content Based community admits that a plurality of features and systems shall be considered. We present in this paper four very different strategies using not only visual information but also text, to implement ImageCLEF2009 Photo Annotation Task. The visual features are various, such as HSV, Gabor, EDGE, SIFT, and some more recent. Then we study ea...

A method for detecting an abnormal object in video images is proposed. We define abnormal object as an object that does not appear in usual scenes. The detection system is trained with video images of usual scenes, and then detects abnormal objects in new input video images. The proposed method detects an abnormal object by assuming an object as a set of local features and ignoring the position...

This paper proposes a high-precision, high-speed keypoint matching method using two-stage randomized trees (RTs). The keypoint classification uses conventional RTs for high-precision, real-time keypoint matching. However, the wide variety of view transformations for templates expressed by RTs make it diffidult to achieve high-precision classification for all transformations with a single RTs. T...

This paper presents a matching strategy to improve the discriminative power of histogram-based keypoint descriptors by constraining the range of allowable dominant orientations according to the context of the scene under observation. This can be done when the descriptor uses a circular grid and quantized orientation steps, by computing or providing a global reference orientation based on the fe...

Article history: Received 17 May 2011 Accepted 14 May 2012 Available online 24 May 2012

Abstract: In order to address the problem of the uncertainty of existing noise models and of the complexity and changeability of the edges and textures of low-resolution document images, this paper presents a projection onto convex sets (POCS) algorithm based on text features. The current method preserves the edge details and smooths the noise in text images by adding text features as constrain...

This paper is focused on the automatic recognition of human events in static images. Popular techniques use knowledge of the human pose for inferring the action, and the most recent approaches tend to combine pose information with either knowledge of the scene or of the objects with which the human interacts. Our approach makes a step forward in this direction by combining the human pose with t...