87,208 research outputs found
Bau der leichten Fahrzeuge und mobilen Brücken über Bäche, Flüsse und Sümpfe
No full textvon C. F. W. Schiele...; mit taktischen Anmerkungen von J. von NiedermayrKeine weiteren Bände erschienenSupralibros: "EA" 990005729620205503_0001 Exemplar der ETH-BI
Video Segmentation with Superpixels
No full textDue to its importance, video segmentation has regained interest recently. However, there is no common agreement about the necessary ingredients for best performance. This work contributes a thorough analysis of various within- and between-frame affinities suitable for video segmentation. Our results show that a frame-based superpixel segmentation combined with a few motion and appearance-based affinities are sufficient to obtain good video segmentation performance. A second contribution of the paper is the extension of [1] to include motion-cues, which makes the algorithm globally aware of motion, thus improving its performance for video sequences. Finally, we contribute an extension of an established image segmentation benchmark [1] to videos, allowing coarse-to-fine video segmentations and multiple human annotations. Our results are tested on BMDS [2], and compared to existing methods
Variations on the Author
No full text“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Classifier Based Graph Construction for Video Segmentation
No full textVideo segmentation has become an important and active research area with a large diversity of pro-posed approaches. Graph-based methods, enabling top-performance on recent benchmarks, consist of three essen-tial components: 1. powerful features account for object ap-pearance and motion similarities; 2. spatio-temporal neigh-borhoods of pixels or superpixels (the graph edges) are modeled using a combination of those features; 3. video segmentation is formulated as a graph partitioning prob-lem. While a wide variety of features have been explored and various graph partition algorithms have been pro-posed, there is surprisingly little research on how to con-struct a graph to obtain the best video segmentation perfor-mance. This is the focus of our paper. We propose to com-bine features by means of a classifier, use calibrated classi-fier outputs as edge weights and define the graph topology by edge selection. By learning the graph (without changes to the graph partitioning method), we improve the results of the best performing video segmentation algorithm by 6% on the challenging VSB100 benchmark, while reducing its runtime by 55%, as the learnt graph is much sparser
[Newspaper Clipping: Author Claims Evidence of Second JFK Assassin #1]
No full textNewspaper article titled "Author Claims Evidence of Second JFK Assassin." The article states that author Richard J. Whalen concluded "that there is circumstantial evidence to support the theory of a second assassin in the shooting of President John F. Kennedy.
Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation
No full textComputational and memory costs restrict spectral tech-niques to rather small graphs, which is a serious limitation especially in video segmentation. In this paper, we propose the use of a reduced graph based on superpixels. In con-trast to previous work, the reduced graph is reweighted such that the resulting segmentation is equivalent, under certain assumptions, to that of the full graph. We consider equiva-lence in terms of the normalized cut and of its spectral clus-tering relaxation. The proposed method reduces runtime and memory consumption and yields on par results in im-age and video segmentation. Further, it enables an efficient data representation and update for a new streaming video segmentation approach that also achieves state-of-the-art performance. 1
Learning must-link constraints for video segmentation based on spectral clustering
No full textIn recent years it has been shown that clustering and segmentation methods can greatly benefit from the integration of prior information in terms of must-link constraints. Very recently the use of such constraints has been integrated in a rigorous manner also in graph-based methods such as normalized cut. On the other hand spectral clustering as relaxation of the normalized cut has been shown to be among the best methods for video segmentation. In this paper we merge these two developments and propose to learn must-link constraints for video segmentation with spectral clustering. We show that the integration of learned must-link constraints not only improves the segmentation result but also significantly reduces the required runtime, making the use of costly spectral methods possible for today’s high quality video
Improved Image Boundaries for Better Video Segmentation
No full textGraph-based video segmentation methods rely on superpixels as starting point. While most previous work has focused on the construction of the graph edges and weights as well as solving the graph partitioning problem, this paper focuses on better superpixels for video segmentation. We demonstrate by a comparative analysis that superpixels extracted from boundaries perform best, and show that boundary estimation can be significantly improved via image and time domain cues. With superpixels generated from our better boundaries we observe consistent improvement for two video segmentation methods in two different datasets
Also By The Same Author: AKTiveAuthor, a Citation Graph Approach to Name Disambiguation
No full textThe desire for definitive data and the semantic web drive for inference over heterogeneous data sources requires co-reference resolution to be performed on those data. In particular, name disambiguation is required to allow accurate publication lists, citation counts and impact measures to be determined. This paper describes a graph-based approach to author disambiguation on large-scale citation networks. Using self-citation, co-authorship and document source analyses, AKTiveAuthor clusters papers, achieving precision of 0.997 and recall of 0.818 over a test group of eight surname clusters
First International Workshop on Video Segmentation- Panel Discussion
No full textAbstract. Interest in video segmentation has grown significantly in re-cent years, resulting in a large body of works along with advances in both methods and datasets. Progress in video segmentation would enable new approaches to building 3D object models from video, understanding dy-namic scenes, robot-object interaction and several other high-level vision tasks. The workshop brought together a broad and representative group of video segmentation researchers working on a wide range of topics. This paper summarizes the panel discussion at the workshop, which focused on three questions: (1) Why does video segmentation currently not meet the performance of image segmentation and what difficulties prevent it from leveraging motion? (2) Is video segmentation a stand-alone prob-lem or should it rather be addressed in combination with recognition and reconstruction? (3) Which are the right video segmentation subtasks the field should focus on, and how can we measure progress
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