Every year, a large number of wildfires all over the world burn forested lands, causing
adverse ecological, economic, and social impacts. Beyond taking precautionary measures …

In this paper we address the problem of automated grading of invasive breast carcinoma
through the encoding of histological images as VLAD (Vector of Locally Aggregated …

In this paper, we consider the problem of multi-dimensional dynamic texture analysis, and
we introduce a new higher order linear dynamical system (h-LDS) descriptor. The proposed …

Statistical modeling of wavelet subbands has frequently been used for image recognition
and retrieval. However, traditional wavelets are unsuitable for use with images containing …

Wood recognition is a crucial task for wood sciences and industries, since it leads to the
identification of the anatomical features and physical properties of wood. Traditionally, the …

Dynamic texture and scene classification are two fundamental problems in understanding
natural video content. Extracting robust and effective features is a crucial step towards …

Abstract Dynamic Textures (DTs) are sequences of images of moving scenes that exhibit
certain stationarity properties in time such as smoke, vegetation and fire. The analysis of DT …

Detecting smoke during the initial stages is vital for preventing fire events. This study
proposes a video-based approach for alarm systems that detects smoke based on temporal …

Representing dynamic textures (DTs) plays an important role in many real implementations
in the computer vision community. Due to the turbulent and non-directional motions of DTs …

The perception of the tactile and vision modalities plays a crucial role in object classification
and robot precise operations. On one hand, the visual perception helps acquire the objects …