Moment camera11/2/2022 Converting arbitrary video to looping content is a challenging research problem. For a landscape scene, this control might correspond to selective animation and deanimation of grass motion, water ripples, and swaying trees. The representation also provides a segmentation of the scene into independently looping regions, enabling interactive local adjustment over dynamism. Applications include background images and slideshows, where the desired level of activity may depend on personal taste or mood. In such a progressively dynamic video, scene liveliness can be adjusted interactively using a slider control. Given a short video we create a representation that captures a spectrum of looping videos with varying levels of dynamism, ranging from a static image to a highly animated loop. We demonstrate the success of our technique with a number of motion visualizations, cinemagraphs and video editing examples created from a variety of short input videos, as well as visual and numerical comparison to previous techniques. Our technique enables a number of applications such as clearer motion visualization, simpler creation of artistic cinemagraphs (photos that include looping motions in some regions), and new ways to edit appearance and complicated motion paths in video by manipulating a de-animated representation. We therefore use a graph-cut-based optimization to composite the warped video regions with still frames from the input video we also optionally loop the output in a seamless manner. However, such warps may introduce unnatural motions in previously motionless areas, such as background regions. The user draws strokes to indicate the regions of the video that should be immobilized, and our algorithm warps the video to remove the large-scale motion of these regions while leaving finer-scale, relative motions intact. We present a semi-automated technique for selectively deanimating video to remove the large-scale motions of one or more objects so that other motions are easier to see. The output is a video montage whose visual activities are cut and synchronized with the rhythm of the music, rendering a symphony of audio-visual resonance. By analyzing the music and video content, our system extracts carefully designed temporal features from the input, and casts the synthesis problem as an optimization and solves the parameters through Markov Chain Monte Carlo sampling. The input is a set of video clips and a piece of background music. In this paper, we develop a framework for automatically generating music-driven video montages. #Moment camera manualNonetheless, it takes enormous manual work and artistic expertise to create it. According to musical movement and beats, video clips are organized to form a montage that visually reflects the experiential properties of the music. In music-driven video montage, the music drives the composition of the video content. We introduce music-driven video montage, a media format that offers a pleasant way to browse or summarize video clips collected from various occasions, including gatherings and adventures. #Moment camera seriesThe presented system automates the otherwise manual work of selecting a series of similar images. The method has been applied to real consumer photo-collections, and we show that depending on individual camera usage styles, user collections contain from 15% to 90% of photos requiring further attention. #Moment camera registrationInitially, the photo-collection is divided in time-based clusters, which are then refined by extracting connected components from the global image registration graph. Therefore, we solve a general multiple image registration problem by extracting local image descriptors, their matching, and recovering geometric transformation between images. This task is different from the recently emerged near-duplicate detection problem because, in our case, the multiple shots differ not only by photometric and simple geometric transformations they can have a little or no overlap, and large variations of objects may be presented. We present a method of fast retrieval of all groups of shots taken from the same viewpoint. selection of the best exposure/composition/portrait or stitching several images into a panorama or composite image. Such multiple shots usually have a special meaning to the photographer, and require further actions, e.g. The users of digital cameras often take multiple photographs of the same scene.
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