Foundation Models for Speech, Images, Videos, and Control

Learning Graphical Models of Images, Videos and Their Spatial Transformations

Mixtures of Gaussians, factor analyzers (probabilistic PCA) and hidden Markov models are staples of static and dynamic data modeling and image and video modeling in particular. We show how topographic trans­ formations in the input, such as translation and shearing in images, can be accounted for in these models by including a discrete transformation variable. The resulting mod­ els perform clu...

Visual Quality Evaluation for Images and Videos

development and implementation of an optimized control strategy for induction machine in an electric vehicle

in the area of automotive engineering there is a tendency to more electrification of power train. in this work control of an induction machine for the application of electric vehicle is investigated. through the changing operating point of the machine, adapting the rotor magnetization current seems to be useful to increase the machines efficiency. in the literature there are many approaches wh...

Supplementary for: Encoding based Saliency Detection for Videos and Images

In the following, we summarize the additional explanations, evaluations and visualizations. We start with a description of evaluation metrics applied within our paper in Section 1.1. Next we summarize our experimental results on the Weizmann [2] data set, comparing with results recently proposed by [8]. Finally, we discuss in detail the additional experiment for cropping centered objects in the...

Detection and Recognition in Images and Videos

Text embedded in images and videos represents a rich source of information for content-based indexing and retrieval applications. In this paper, we present a new method for localizing and recognizing text in complex images and videos. Text localization is performed in a two step approach that combines the speed of a focusing step with the strength of a machine learning based text verification s...