scholarly journals Video Content Description Using Fuzzy Spatio-Temporal Relations

Digital Video ◽  
10.5772/8036 ◽  
2010 ◽  
Author(s):  
Archana M. ◽  
R.C. Joshi ◽  
Santanu Chaudhary ◽  
Ramchandra Manthalkar
Keyword(s):  
Temporal Relations ◽  
Video Content ◽  
Content Description ◽  
Spatio Temporal

VIDEO CONTENT REPRESENTATION FOR SHOT RETRIEVAL AND SCENE EXTRACTION

2001 ◽  
Vol 01 (03) ◽  
pp. 507-526 ◽  
Author(s):  
TONG LIN ◽  
HONG-JIANG ZHANG ◽  
QING-YUN SHI
Keyword(s):  
Similarity Measure ◽  
Video Content ◽  
Object Based ◽  
Scene Structure ◽  
Color Histograms ◽  
Extraction Algorithm ◽  
Content Representation ◽  
Video Shot ◽  
Shot Boundary ◽  
Spatio Temporal

In this paper, we present a novel scheme on video content representation by exploring the spatio-temporal information. A pseudo-object-based shot representation containing more semantics is proposed to measure shot similarity and force competition approach is proposed to group shots into scene based on content coherences between shots. Two content descriptors, color objects: Dominant Color Histograms (DCH) and Spatial Structure Histograms (SSH), are introduced. To represent temporal content variations, a shot can be segmented into several subshots that are of coherent content, and shot similarity measure is formulated as subshot similarity measure that serves to shot retrieval. With this shot representation, scene structure can be extracted by analyzing the splitting and merging force competitions at each shot boundary. Experimental results on real-world sports video prove that our proposed approach for video shot retrievals achieve the best performance on the average recall (AR) and average normalized modified retrieval rank (ANMRR), and Experiment on MPEG-7 test videos achieves promising results by the proposed scene extraction algorithm.

Modeling Spatial Evolution

2018 ◽  
pp. 235-259 ◽  
Author(s):  
G. Jayanthi ◽  
V. Uma
Keyword(s):  
Temporal Relations ◽  
Spatial Evolution ◽  
Two Dimensional ◽  
Formal Representation ◽  
Effect Analysis ◽  
Spatial Features ◽  
Spatio Temporal ◽  
Point Line ◽  
Spatial Entities ◽  
Interval Logic

Geographic features in the real world are represented by spatial entities such as point, line, and area in two-dimensional surfaces. These features tend to evolve in time, thereby characterizing change in their physical identity, evolution into new species, thus describing geomorphological change of geographic features. These phenomena can be formalized using spatio-temporal relations. Formal representation of changing geographic (spatial) features is the interest of this chapter. Formal methods for representing the event and process that causes geomorphological change are presented. The formalization of geographic entities that are temporally and spatially related in a two-dimensional plane using the interval logic and spatial logic would facilitate the understanding of how modeling of space-time using spatio-temporal relations represents spatial evolution over time. Representation of temporal dynamism can be accomplished using various models. Modeling using spatio-temporal graph is more apt as it contributes to the cause-effect analysis.

Hierarchical video content description and summarization using unified semantic and visual similarity

2003 ◽  
Vol 9 (1) ◽  
pp. 31-53 ◽  
Author(s):  
Xingquan Zhu ◽  
Jianping Fan ◽  
Ahmed K. Elmagarmid ◽  
Xindong Wu
Keyword(s):  
Visual Similarity ◽  
Video Content ◽  
Content Description
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