Street Scene Change Detection (SSCD) aims to locate the changed regions between a given street-view image pair captured at different times, which is an important yet challenging task in computer vision community. The intuitive way solve SSCD fuse extracted feature pairs, and then directly measure dissimilarity parts for producing change map. Therefore, key design effective fusion method that ca...

In this paper, we present a client-server system for 3D scene change detection. A 3D scene point cloud which stored on the server is reconstructed by (structure-from-motion) SfM technique in advance. On the other hand, the client system in tablets captures query images and sent them to the server to estimate the change area. In order to find region of change, an existing change detection method...

Observers have difficulty detecting visual changes. However, they are unaware of this inability, suggesting that people do not have an accurate understanding of visual processes. We explored whether this error is related to participants' beliefs about the roles of intention and scene complexity in detecting changes. In Experiment 1 participants had a higher failure rate for detecting changes in...

This paper presents a software-only MPEG encoder implementation which uses adaptive quantization and scene change detection to enhance the image quality. Scene change detection is coupled to the bit-allocation process, providing a more constant image quality over time. Simultaneously, it is used to assign picture coding types for enabling easy, lossless cutting at scene change positions in a la...

There is an increased need to extract key information automatically from video for the purposes of indexing, fast retrieval, and scene analysis. To support this vision, reliable scene change detection algorithms must be developed. Several algorithms have been proposed for both sudden and gradual scene change detection in uncompressed and compressed video [I-81. In this paper we present an algor...

Monitoring of planned change in objects is a fundamental responsibility of mapping agencies, which are increasingly utilising remotely-sensed imagery as a data source. In contrast, a series of recent devastating natural disasters has led to a demand for rapid detection and mapping of damage to populated areas. Change detection using remote sensors with high spatiotemporal resolutions can provid...

The last generation video compression techniques such as MPEG-4 and H.263+, allow presence of shot-cut detection methods that are usually built into the encoders. Such methods are used to extract key-frames to be encoded as intra frames. This paper presents automated scene change detection techniques, which mainly work over these key-frames to extract scene frames. Proposed techniques aim at un...

Changes in video data recorded by a static camera can be caused by structural scene changes like motion and by illumination changes. We describe an algorithm which discriminates reliably between structural changes and illumination, thus detecting only ’true’ scene changes. To this end, we derive a new test statistic for change detection based on a Total Least Squares (TLS) approach. The basic i...

Video scene change detection has great importance of managing and analyzing large amount of videos. Traditionally this technique used for indexing, segmenting and categorizing different types of videos. Very few works addressed to classify obscene using scene change detection method. In this research we proposed a simple approach for sensing objectionable videos by observing scene changes into ...

The ability to detect sudden changes in the environment is critical for survival. Hearing is hypothesized to play a major role in this process by serving as an "early warning device," rapidly directing attention to new events. Here, we investigate listeners' sensitivity to changes in complex acoustic scenes-what makes certain events "pop-out" and grab attention while others remain unnoticed? We...