This paper deals with the temporal synchronization of image sequences. Two instances of this problem are considered: (a) synchronization of human actions and (b) synchronization of dynamic scenes with view changes. To address both tasks and to reliably handle large view variations, we use self-similarity matrices which remain stable across views. We propose time-adaptive descriptors that captur...

Local image features or interest points provide compact and abstract representations of patterns in an image. In this paper, we propose to extend the notion of spatial interest points into the spatio-temporal domain and show how the resulting features often reflect interesting events that can be used for a compact representation of video data as well as for its interpretation. To detect spatio-...

We describe a new method for Automatic Gait Recognition based around the use of Fourier descriptors that model the periodic deformation of human gait. Fourier descriptors have been used successfully in the past to model the boundary of static or moving, rigid-bodied objects, but many objects actually deform in some way as they move. Here we use Fourier descriptors to model not only the object’s...

In this paper, we discuss and audio-visual approach to automatic web video categorization. We propose content descriptors which exploit audio, temporal, and color content. The power of our descriptors was validated both in the context of a classification system and as part of an information retrieval approach. For this purpose, we used a real-world scenario, comprising 26 video categories from ...

Datasets are created in the linked data ecosystem with varying data and metadata quality. Shallow (or poor-quality) metadata prevent dataset provision services (CKAN catalogs, etc.) from supporting their users in efficient search and exploration of datasets they need. In this paper we approach the problem by formalizing the dataset exploration scenario, introducing the notion of ontology-based ...

This paper describes an approach for video structuring and indexing. It relies on motion wavelet coefficients directly estimated from image sequence. These coefficients provides a multiscale characterization of optical flow. They allow to define dominant and local motion descriptors, respectively related to camera and object displacements. We use dominant motion descriptors to perform video tem...

the purpose of this work is to develop robust and interpretable quantitative structure”activity relationship (qsar) models for assessing the aquatic toxicity of phenols using a combined set of descriptors encompassing the logp and recently developed variables (monconn-z variables). the used dataset consists of 250 chemicals with toxicity data to the ciliate tetrahymena pyriformis. for each comp...

This paper presents a method for video collection overviewing based the dynamic content of the scenes. In an unsupervised context, our approach relies on the nonlinear temporal modeling of wavelet-based motion features directly estimated from the image sequence. Based on SVM-regression, the nonlinear model is able to learn the behavior of the motion descriptors along the temporal dimension and ...

This paper introduces a novel 4D shape descriptor to match temporal surface sequences. A quantitative evaluation based on the Receiver-Operator Characteristic (ROC) curve is presented to compare the performance of conventional 3D shape descriptors with and without using a time filter. Featurebased 3D Shape Descriptors including Shape Distribution [24], Spin Image [14], Shape Histogram [1] and S...