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检索条件"机构=Multimedia Computing and Computer Vision Lab."

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Pose estimation for deriving kinematic parameters of competitive swimmers

Pose estimation for deriving kinematic parameters of competi...

引用

computer vision Applications in Sports 2017

作者： Zecha, Dan Eggert, Christian Lienhart, Rainer Multimedia Computing and Computer Vision Lab. Augsburg University Germany

In the field of competitive swimming a quantitative evaluation of kinematic parameters is a valuable tool for coaches but also a lab.r intensive task. We present a system which is able to automate the extraction of many kinematic parameters such as stroke frequency, kick rates and stroke-specific intra-cyclic parameters from video footage of an athlete. While this task can in principle be solved by human pose estimation, the problem is exacerbated by permanently changing self-occlusion and severe noise caused by air bubbles, splashes, light reflection and light refraction. Current approaches for pose estimation are unable to provide the necessary localization precision under these conditions in order to enable accurate estimates of all desired kinematic parameters. In this paper we reduce the problem of kinematic parameter derivation to detecting key frames with a deep neural network human pose estimator. We show that we can correctly detect key frames with a precision which is on par with the human annotation performance. From the correctly located key frames, aforementioned parameters can be successfully inferred. © 2017, Society for Imaging Science and Technology.

关键词： Deep neural networks

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Robust feature bundling

Robust feature bundling

引用

13th Pacific-Rim Conference on multimedia, PCM 2012

作者： Romberg, Stefan August, Moritz Ries, Christian X. Lienhart, Rainer Multimedia Computing and Computer Vision Lab. Augsburg University Germany

ISBN: (纸本)9783642347771

In this work we present a feature bundling technique that aggregates individual local features with features from their spatial neighborhood into bundles. The resulting bundles carry more information of the underlying image content than single visual words. As in practice an exact search for such bundles is infeasible, we employ a robust approximate similarity search with min-hashing in order to retrieve images containing similar bundles. We demonstrate the benefits of these bundles for small object retrieval, i.e. logo recognition, and generic image retrieval. Multiple bundling strategies are explored and thoroughly evaluated on three different datasets. © 2012 Springer-Verlag.

关键词： Image retrieval

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Bundle min-hashing for logo recognition 13

Bundle min-hashing for logo recognition

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3rd ACM International Conference on multimedia Retrieval, ICMR 2013

作者： Romberg, Stefan Lienhart, Rainer Multimedia Computing and Computer Vision Lab. Augsburg University Augsburg Germany

ISBN: (纸本)9781450320337

We present a scalab.e logo recognition technique based on feature bundling. Individual local features are aggregated with features from their spatial neighborhood into bundles. These bundles carry more information about the image content than single visual words. The recognition of logos in novel images is then performed by querying a database of reference images. We further propose a novel WGC-constrained RANSAC and a technique that boosts recall for object retrieval by synthesizing images from original query or reference images. We demonstrate the benefits of these techniques for both small object retrieval and logo recognition. Our logo recognition system clearly outperforms the current state-of-the-art with a recall of 83% at a precision of 99%. © 2013 ACM.

关键词： Query processing

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Improving VLAD: Hierarchical coding and a refined local coordinate system

Improving VLAD: Hierarchical coding and a refined local coor...

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作者： Eggert, Christian Romberg, Stefan Lienhart, Rainer Multimedia Computing and Computer Vision Lab University of Augsburg Germany

ISBN: (纸本)9781479957514

The enormous growth of image databases calls for new techniques for fast and effective image search that scales with millions of images. Most importantly, the setting requires a compact but also descriptive image signature. Recently, the vector of aggregated local descriptors (VLAD) [1] has received much attention in large-scale image retrieval. In this paper we present two modifications for VLAD which improve the retrieval performance of the signature. © 2014 IEEE.

关键词： Image retrieval

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vision substitution experiments with see ColOr

Vision substitution experiments with see ColOr

引用

5th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2013

作者： Bologna, Guido Gomez, Juan Diego Pun, Thierry Computer Vision and Multimedia Lab. University of Geneva Switzerland

ISBN: (纸本)9783642386367

See ColOr is a mobility aid for visually impaired people that uses the auditory channel to represent portions of captured images in real time. A distinctive feature of the See ColOr interface is the simultaneous coding of colour and depth. Four main modules were developed, in order to replicate a number of mechanisms present in the human visual systems. In this work, we first present the main experiments carried out in the first years of the project;among them : the avoidance of obstacles, the recognition and localization of objects, the detection of edges and the identification of coloured targets. Finally, we introduce new undergoing experiments in Colombia with blind persons, whose purpose is (1) to determine and to touch a target;(2) to navigate and to find a person;and (3) to find particular objects. Preliminary results illustrate encouraging results. © 2013 Springer-Verlag.

关键词： Handicapped persons

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OBJECT DETECTION USING HIERARCHICAL GRAPH-BASED SEGMENTATION

OBJECT DETECTION USING HIERARCHICAL GRAPH-BASED SEGMENTATION

引用

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Kim, Jungho Choi, Byeongho Kweon, In-So Multimedia IP Research Center KETI Robotics and Computer Vision Lab. KAIST

ISBN: (纸本)9781479903566

Object detection in real images or videos is challenging because the shapes and sizes of objects vary significantly according to their poses, camera viewing direction, and partial occlusion. Previous detection methods employ sliding-window-based schemes that scan windows across an image, requiring many differently shaped windows to capture shape and size variation. In order to solve this problem, we propose an object detection method using hierarchical graph-based segmentation: color-consistent parts are obtained by part-level segmentation and category-consistent regions are found using object-level segmentation. Thus we can avoid scanning a lot of windows across whole images by using part-level segmentation and robustly detect the objects of various shapes and sizes by using object-level segmentation. In addition, we evaluate detection performance using various classifiers with our detection approach.

关键词： Object detection Object classification Graph-based segmentation

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Registration of brain MR images using feature information of structural elements

引用

6th Pacific Rim Conference on multimedia - Advances in Mulitmedia Information Processing - PCM 2005

作者： Chae, Jeong-Sook Cho, Hyung-Jea Korea Republic of Computer Vision and Multimedia Lab. Department of Computer Engineering Dongguk University Korea Republic of

ISBN: (纸本)3540300279

In this paper, we propose a new registration algorithm, which can provide more exact criteria for deciphering brain diseases. At the first stage, our algorithm divides the areas of the brain structures to extract their features. After calculating contour and area information, the grouping step is performed. At the next stage, the brain structures are precisely classified with respect to the shape of cerebrospinal fluid and the volume of brain structures. These features are finally integrated into a knowledge base to build up a new standard atlas for normal brain MR images. Using this standard atlas, we perform the registration process after extracting the brain structures from the MR image to be compared. Finally, we analyze the registration results of the normal and abnormal MR images, and showed that the exactness of our algorithm is relatively superior to the previous methods. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Medical imaging

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Dichromatic-based color constancy using dichromatic slope and dichromatic line space

Dichromatic-based color constancy using dichromatic slope an...

引用

IEEE International Conference on Image Processing 2005, ICIP 2005

作者： Yoon, Kuk-Jin Choi, Yoo Jin Kweon, In-So Robotics and Computer Vision Lab. Dept. of EECS KAIST Korea Republic of Mobile Multimedia Lab. LG Electronics Institute of Technology

ISBN: (纸本)0780391349

In this paper, we present a new dichromatic-based method for estimating illuminant chromaticity using a single image. In the proposed method, specular pixels are roughly extracted from an input image and projected into the three-dimensional dichromatic line space according to their image chromaticities and dichromatic slopes. Reliable dichromatic lines are then obtained by detecting local maxima in the dichromatic line space. Illuminant chromaticity is finally estimated by finding the intersections of the resulting dichromatic lines. The proposed method has some advantages. The proposed method can deal with highly textured images since it does not require precise color segmentation. In addition, the proposed method does not suffer from nearly parallel dichromatic lines and it can estimate artificial illuminant chromaticity. © 2005 IEEE.

关键词： Image analysis

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Motion picture inpainting on aged films

Motion picture inpainting on aged films

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13th ACM International Conference on multimedia, MM 2005

作者： Shih, Timothy K. Chang, Rong-Chi Chen, Yu-Ping Multimedia Information Networking Lab. Department of Computer Science and Information Engineering Tamkang University Taiwan Multimedia Computing Lab. Department of Information and Design Asia University Taichung Taiwan

ISBN: (纸本)1595930442

Video inpainting uses spatial-temporal information to repair defects such as spikes and lines on aged films. We propose a series of new algorithms based on adjustable thresholds to repair different varieties of aged films. The main contribution is an automatic spike and dirt detection mechanism. We prove that if appropriate threshold is once decided by the author, most damages in an aged video clip can be detected. In addition, the repairing procedure first estimates temporal information and obtain replacement blocks among several frames. Spatial information is then used to repair damages that can not be fixed by temporal information due to fast motion. The results are visually pleasant with most defects removed. Copyright © 2005 ACM.

关键词： Repair

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Video inpainting and restoration techniques

Video inpainting and restoration techniques

引用

13th ACM International Conference on multimedia, MM 2005

作者： Chang, Rong-Chi Lin, Louis H. Tian, Chia-Ton Shih, Timothy K. Multimedia Computing Lab. Department of Information and Design Asia University Taichung Taiwan Multimedia Information Networking Lab. Department of Computer Science and Information Engineering Tamkang University Taiwan

ISBN: (纸本)1595930442

Aged films may contain defects such as spikes or dirt, as well as long vertical defect lines. These defects were produced in file development or due to improper maintenance of films. We present a series of algorithms, which can detect and restore defects. In addition, the restoration technique is used with a motion tracking mechanism. Objects can be removed and holes can be inpainted. We aim to demonstrate three tools for 1) spike detection and restoration, 2) long vertical line detection and repairing, and 3) object removal and inpainting. Results of restored video clips show that our mechanisms are practical with good inpainted video quality. Copyright © 2005 ACM.

关键词： Motion estimation

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