In this paper, we propose a method to summarize an egocentric moving video (a video recorded by a moving wearable camera) for generating a walking route guidance video. To summarize an egocentric video, we analyze it by applying pedestrian crosswalk detection as well as ego-motion classification, and estimate an importance score of each section of the given video. Based on the estimated importa...

Video compression is very crucial method which is used to reduce the quantity of data used to represent digital video pictures. However, most video compression is loss when the video pictures data is quantized. So a quantizer is key factors for adjusting the bitrate and controlling the picture quality. Importantly, if the concerned region of video sequence takes on high level picture quality, t...

Spotting by Association method for video analysis is a novel method to detect video segments with typical semantics. Video data contains various kinds of information through continuous images, natural language, and sound. For videos to be stored and retrieved in a Digital Library, it is essential to segment the video data into meaningful pieces. To detect meaningful segments, we need to identif...

The main challenge in recognizing faces in video is effectively exploiting the multiple frames of a face and the accompanying dynamic signature. One prominent method is based on extracting joint appearance and behavioral features. A second method models a person by temporal correlations of features in a video. Our approach introduces the concept of video-dictionaries for face recognition, which...

We consider the problem of localizing and segmenting objects in weakly labeled video. A video is weakly labeled if it is associated with a tag (e.g. YouTube videos with tags) describing the main object present in the video. It is weakly labeled because the tag only indicates the presence/absence of the object, but does not give the detailed spatial/temporal location of the object in the video. ...

shape and movement features of sperms are important parameters for infertility study and treatment. in this article, a new method is introduced for characterizing sperms in microscopic videos. in this method, first a hypothesis framework is defined to distinguish sperms from other particles in captured video. then decision about each hypothesis is done in following steps: selecting some primary...

Multiple description (MD) coding has evolved as a promising technique for promoting error resiliency of multimedia system in real-time application programs over error-prone communicational channels. Although multiple description lattice vector quantization (MDCLVQ) is an efficient method for transmitting reliable data in the context of potential error channels, this method doesn’t consider disc...

The use of video segmentation as an early processing step in video analysis lags behind the use of image segmentation for image analysis, despite many available video segmentation methods. A major reason for this lag is simply that videos are an order of magnitude bigger than images; yet most methods require all voxels in the video to be loaded into memory, which is clearly prohibitive for even...

This paper presents a new and efficient block-based motion segmentation method based on a novel motion vectors consistency model. In essence, the method utilizes the motion vectors extracted from the video encoding process and groups the associated blocks by region growing technique to achieve motion segmentation. A new motion vector consistency criterion is also introduced to support this bloc...

In recent years, video segmentation is considered as the major research area for digital storage. Video segmentation is different from the image segmentation. Video segmentation is a challenging problem. In video segmentation, for a given image the segmentation achieved should be related to the previous image that belongs to the same shot. In our proposed video segmentation technique, at first ...