CONVOLUTIONAL RECOGNITION OF DYNAMIC TEXTURES WITH PRELIMINARY CATEGORIZATION

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Convolutional Recognition of Dynamic Textures with Preliminary Categorization

Dynamic Texture (DT) can be considered as an extension of the static texture additionally comprising the motion features. The DT is very wide but the weak studied type of textures that is employed in many tasks of computer vision. The proposed method of the DTs recognition includes a preliminary categorization based on the proposed four categories, such as natural particles with periodic moveme...

متن کامل

Synthesising Dynamic Textures using Convolutional Neural Networks

Here we present a parametric model for dynamic textures. The model is based on spatiotemporal summary statistics computed from the feature representations of a Convolutional Neural Network (CNN) trained on object recognition. We demonstrate how the model can be used to synthesise new samples of dynamic textures and to predict motion in simple movies.

متن کامل

A Unified Approach to Segmentation and Categorization of Dynamic Textures

Dynamic textures (DT) are videos of non-rigid dynamical objects, such as fire and waves, which constantly change their shape and appearance over time. Most of the prior work on DT analysis dealt with the classification of videos of a single DT or the segmentation of videos containing multiple DTs. In this paper, we consider the problem of joint segmentation and categorization of videos of multi...

متن کامل

Recognition of Dynamic Textures using Impulse Responses of State Variables

Dynamic textures are image sequences which contain moving scenes such as a flowing river, drifting smoke, waving foliage, etc. Such image sequences have dynamical properties that are related to motion in the physical world. In this paper, we propose a novel analytical tool for analyzing dynamic textures. The key idea is to exploit the properties of the impulse responses of the state variables c...

متن کامل

Dynamic Categorization of Semantics of Fashion Language: A Memetic Approach

Categories are not invariant. This paper attempts to explore the dynamic nature of semantic category, in particular, that of fashion language, based on the cognitive theory of Dawkins’ memetics, a new theory of cultural evolution. Semantic attributes of linguistic memes decrease or proliferate in replication and spreading, which involves a dynamic development of semantic category. More specific...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

سال: 2017

ISSN: 2194-9034

DOI: 10.5194/isprs-archives-xlii-2-w4-47-2017