This paper briefly describes the systems presented by the Software Technologies Working Group (http://gtts.ehu.es, GTTS) of the University of the Basque Country (UPV/EHU) to the Spoken Web Search (SWS) task at MediaEval 2013. GTTS systems consist of four main modules: (1) feature extraction; (2) speech activity detection; (3) DTW-based query matching; and (4) score calibration and fusion. The m...

Speaker verification from talking a few words of sentences has many applications. Many methods as DTW, HMM, VQ and MQ can be used for speaker verification. We applied MQ for its precise, reliable and robust performance with computational simplicity. We also used pitch frequency and log gain contour for further improvement of the system performance.

an improved method to detect the critical points and obtain a matching path in 1 on-line signature verification. More critical points will be detected and the will be improved by the proposed method. We first detect critical points by ature curves for extremum points. We then introduce an improved DTW nal backward-merging DTW (BBMDTW), for the flexible matching of two 1D inally, the critical po...

In recent years Dynamic Time Warping (DTW) has emerged as the distance measure of choice for virtually all time series data mining applications. For example, virtually all applications that process data from wearable devices use DTW as a core sub-routine. This is the result of significant progress in improving DTW’s efficiency, together with multiple empirical studies showing that DTW-based cla...

Mining sequential data is an old topic that has been revived in the last decade, due to the increasing availability of sequential datasets. Most works in this field are centred on the definition and use of a distance (or, at least, a similarity measure) between sequences of elements. A measure called Dynamic Time Warping (DTW) seems to be currently the most relevant for a large panel of applica...

Satellite Image Time Series (SITS) record the continuous temporal behavior of land cover types and thus provide a new perspective for finer-grained classification compared with usual spectral spatial information contained in static image. In addition, SITS data is becoming more accessible recent years due to newly launched satellites accumulated historical data. However, lack labeled training s...

Recently, the methods based on Convolutional Neural Networks (CNNs) have gained popularity in field of visual place recognition (VPR). In particular, features from middle layers CNNs are more robust to drastic appearance changes than handcrafted and high-layer features. Unfortunately, holistic mid-layer lack robustness large viewpoint changes. Here we split into local features, propose an adapt...

speaker verification from talking a few words of sentences has many applications. many methods as dtw, hmm, vq and mq can be used for speaker verification. we applied mq for its precise, reliable and robust performance with computational simplicity. we also used pitch frequency and log gain contour for further improvement of the system performance.

Detection of faces and facial patterns in static or video images is an important but challenging problem in computer vision, as faces may present in different scales, orientations, positions and poses in an uncontrolled background. To date, numerous approaches have been implemented for face and facial pattern detection [1-4]. These approaches have been grouped into four broad categories [2]. Th...