Abstract: A method includes obtaining a three-dimensional model that represents a natural environment and identifying ground-level surfaces from the three-dimensional model, wherein the ground-level surfaces from the three-dimensional model represent ground-level features from the natural environment. The method also includes identifying overhanging features from the three-dimensional model, wherein the overhanging features from the three-dimensional model block visibility of the ground-level surfaces from the three-dimensional model when the ground-level surfaces are viewed from an orthographic perspective.

Abstract: A method includes obtaining a three-dimensional model that represents a natural environment and identifying ground-level surfaces from the three-dimensional model, wherein the ground-level surfaces from the three-dimensional mode represent ground-level features from the natural environment. The method also includes identifying overhanging features from the three-dimensional model, wherein the overhanging features from the three-dimensional model block visibility of the ground-level surfaces from the three-dimensional model when the ground-level surfaces are viewed from an orthographic perspective.

Abstract: A method includes obtaining images, obtaining three-dimensional surface measurements, defining a three-dimensional mesh using the three-dimensional surface measurements, texturing the three-dimensional mesh using the images to define a textured three-dimensional mesh, identifying a first portion of the textured three-dimensional mesh, identifying a second portion of the textured three-dimensional mesh that obstructs visibility of part of the first portion of the textured three-dimensional mesh from an overhead perspective, and rendering a simulated overhead perspective image such that the second portion of the textured three-dimensional mesh is not represented in the simulated overhead perspective image.

Abstract: A method includes obtaining images, obtaining three-dimensional surface measurements, defining a three-dimensional mesh using the three-dimensional surface measurements, texturing the three-dimensional mesh using the images to define a textured three-dimensional mesh, identifying a first portion of the textured three-dimensional mesh, identifying a second portion of the textured three-dimensional mesh that obstructs visibility of part of the first portion of the textured three-dimensional mesh from an overhead perspective, and rendering a simulated overhead perspective image such that the second portion of the textured three-dimensional mesh is not represented in the simulated overhead perspective image.

Abstract: A video summary method comprises dividing a video into a plurality of video shots, analyzing each frame in a video shot from the plurality of video shots, determining a saliency of each frame of the video shot, determining a key frame of the video shot based on the saliency of each frame of the video shot, extracting visual features from the key frame and performing shot clustering of the plurality of video shots to determine concept patterns based on the visual features. The method further comprises fusing different concept patterns using a saliency tuning method and generating a summary of the video based upon a global optimization method.

Abstract: A video summary method comprises dividing a video into a plurality of video shots, analyzing each frame in a video shot from the plurality of video shots, determining a saliency of each frame of the video shot, determining a key frame of the video shot based on the saliency of each frame of the video shot, extracting visual features from the key frame and performing shot clustering of the plurality of video shots to determine concept patterns based on the visual features. The method further comprises fusing different concept patterns using a saliency tuning method and generating a summary of the video based upon a global optimization method.