نتایج جستجو برای: key frame
تعداد نتایج: 646603 فیلتر نتایج به سال:
Though being a vital part of video indexing and retrieval systems, key-frame extraction algorithms have been based mainly on the analysis of various frame similarities and their later clustering. This work broadens the spectra of the analysis by focusing on the spatio-temporal region relations present in the scene to determine the most representative frame in the shot. It applies efficient vide...
In the context of Distributed Video Coding (DVC), rate allocation among sources represents an important problem to solve. While in the information theoretical setting of Distributed Source Coding (DSC) the statistical correlation between sources is usually assumed to be known, in practical DVC systems there is no a priori knowledge of the underlying statistics of visual data. This lack of infor...
Unmanned aerial vehicles represent an effective technology for indoor search and rescue operations. Typically, most indoor missions' environments would be unknown, unstructured, and/or dynamic. Navigation of UAVs in such environments is addressed by simultaneous localization and mapping approach using either local or global approaches. Both approaches suffer from accumulated errors and high pro...
Even we human cannot solve the frame problem, that is, we cannot completely describe conditions for a certain action to succeed, nor can we completely predict what will happen as the result of an action. Nevertheless, in daily life we can act as if there were no such problem, because we use some heuristics to bypass it. In this paper, we propose that the concept of causality is the heuristics. ...
This paper presents a new method of human activity recognition, which is based on R transform and dynamic time warping (DTW) after the key frame is extracted from a cycle. For a key binary human silhouette, R transform is employed to represent low-level features. The advantage of the R transform lies in its low computational complexity and geometric invariance. The DTW distance based on the ext...
We present a neural network based approach to key frame extraction in the compressed domain. The proposed method is an amalgamation of both the MPEG-7 descriptors namely motion intensity descriptor and spatial activity descriptor. Shot boundary detection and block motion estimation techniques are employed prior to the extraction of the descriptors. The motion intensity (“pace of action”) is obt...
As a rapid growth of digital videos and data communications, video summarization that provides a shorter version of the video for fast video browsing and retrieval is necessary. Key frame extraction is one of the mechanisms to generate video summary. In general, the extracted key frames should both represent the entire video content and contain minimum redundancy. However, most of the existing ...
In this paper, the authors treat the key frame extraction problem from a viewpoint of shot reconstruction. As a result, a novel criterion called shot reconstruction degree (SRD) is proposed for key frame selection based on the degree of retaining motion dynamics of a video shot. Compared with the widely used fidelity criterion, the key frame set produced by SRD can better capture the detailed d...
With the advent of the information age and an explosion in the availability of multimedia data, news video production and its usage is growing extremely. But these require more memory and space. So in order to save space and time we need to summarize video. For this we need to perform key frame extraction into the video. This project compares with each other, the combinations of existing approa...
this paper is a continuation of [uniformities and covering properties for partial frames (i)], in which we make use of the notion of a partial frame, which is a meet-semilattice in which certain designated subsets are required to have joins, and finite meets distribute over these. after presenting there our axiomatization of partial frames, which we call $sels$-frames, we added structure, in th...
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