Fig 8 - uploaded by Markus Rupp
Content may be subject to copyright.
Source publication
Unsupervised detection of pan and zoom in soccer sequences allows automatic classification of shots and match analysis. In this work we propose a pan and zoom (both in and out) detector specifically designed for low resolution soccer sequences. Our implementation is based on the analysis of the distribution of the motion vectors, already available...
Context in source publication
Context 1
... the pan, the speed of the movement has been measured observing the detected global motion, as shown in Fig. 8. Positive horizontal motion vectors correspond to cam- era movement to the right direction, while negative to the left. In a similar manner, positive vertical motion vectors indicate downwards camera movement while negative upwards move- ment. No relevant correlation was measured between the two In order to measure the presence of ...
Similar publications
This paper presents different structures that use adaptive M-band hierarchical filter banks for temporal scalability. Open-loop and closed-loop configurations are introduced and illustrated using existing video codecs. In particular, it is shown that the H.264/MPEG-4 AVC codec allows us to introduce scalability by frame shuffling operations, thus k...
The technique isolated regions, which is based on constraining inter and in-picture prediction jointly, was adopted into the emerging video coding standard H.264 (also know as MPEG-4 part 10 or AVC), as a tool to provide gradual random access and error resilience among other things. This paper addresses the error resiliency performance of isolated...
In this paper the results obtained for homogenous Cascaded Pixel Domain Transcoder of AVC bitstreams are reported in order to show the expected transcoding efficiency gain/loss. A wide set of test video sequences has been used in experiments and in total 19200 bitstreams have been encoded and examined. It has been proved that there is a universal d...
The H.264/AVC 1 standard of the Video Coding Experts Group (VCEG) and the Moving Pictures Experts Group (MPEG), also known as MPEG-4 AVC, achieves significant compression gain compared to its predecessors. Not only Inter yet also Intra coding has been greatly improved. Today VCEG encourages coding efficiency improve-ments through the KTA (Key Techn...
In this paper, we propose a simplified Frame based Multiple Description (MD) coding system for video streams. The proposed system uses an overdetermined filter bank to generate multiple descriptions of the original video stream, and allows for exact signal reconstruction even in the presence of packet losses. Each description is coded using the rec...
Citations
... To reduce the searching complexity of the zoom ratio, a diamond search method has been introduced to zoom ratio search [18]. Methods [19][20][21] for determining the zoom ratio instead of searching a zoom ratio have also been researched as follows. Superiori [19] Kwon and Lee EURASIP Journal on Image and Video Processing (2020) 2020: 11 Page 2 of 13 observes that directions of motion vectors (MVs) tend to align with a direction from the border to the center of the object when the object has zoom motion. ...
... Methods [19][20][21] for determining the zoom ratio instead of searching a zoom ratio have also been researched as follows. Superiori [19] Kwon and Lee EURASIP Journal on Image and Video Processing (2020) 2020: 11 Page 2 of 13 observes that directions of motion vectors (MVs) tend to align with a direction from the border to the center of the object when the object has zoom motion. Takada et al. [20] proposes a method of improving coding efficiency by calculating zoom ratios by analyzing MVs in the coded video and re-coding the video. ...
Abstract In this paper, two methods of zoom motion estimation for color and depth videos by using depth information are proposed. Color and depth videos are independently estimated for zoom motion. Zoom for color video is scaled by spatial domain, and depth video is scaled by both spatial and depth domains. For color video, instead of existing methods of zoom motion estimation that apply all of possible zoom ratios for a current block, the zoom ratio of the proposed method is determined as the ratio of the average depth values of the current and reference blocks. Then, the reference block is resized by multiplying the zoom ratio and the reference block is mapped to the current block. For depth video, the reference block is first scaled in the spatial direction by the same methodology used for color video and then scaled by a distance ratio from a camera to the objects. Compared to the conventional motion estimation method, the proposed method reduces MSE by up to about 30% for the color video and up to about 85% for the depth video.
... Consequently it is essential to have a zoom detector that may help finding the highlights of the match. Several techniques for zoom detection exist in the literature [41], [42], [43]. The most common methods involve computing the optical flow, fitting it into a parametrical motion model and assessing the corresponding coefficients of the model. ...
Automatic summarization generation of sports video content has been object of
great interest for many years. Although semantic descriptions techniques have
been proposed, many of the approaches still rely on low-level video descriptors
that render quite limited results due to the complexity of the problem and to
the low capability of the descriptors to represent semantic content. In this
paper, a new approach for automatic highlights summarization generation of
soccer videos using audio-visual descriptors is presented. The approach is
based on the segmentation of the video sequence into shots that will be further
analyzed to determine its relevance and interest. Of special interest in the
approach is the use of the audio information that provides additional
robustness to the overall performance of the summarization system. For every
video shot a set of low and mid level audio-visual descriptors are computed and
lately adequately combined in order to obtain different relevance measures
based on empirical knowledge rules. The final summary is generated by selecting
those shots with highest interest according to the specifications of the user
and the results of relevance measures. A variety of results are presented with
real soccer video sequences that prove the validity of the approach.
... Camera motion detection has been studied in several literatures [2] [3]. Most of them are achieved by analyzing motion vectors of macro blocks. ...
In this paper, camera movements including zoom, pan and tilt could be efficiently detected for conversation scenes in movies using an improved feature point matching method. RANSAC algorithm is applied to reduce the error rate of feature matching. This implementation possesses notable significance for conversation scenes' editing and analysis. Besides, it is an essential fundamental step for constructing a visual attention model.
Block-based Motion Estimation (ME) has been widely used in various video coding standards to remove temporal redundancy. However, this ME has limitation that it can only compensate for a parallel translation. Various methods have been proposed for other motions such as zooming. In recent years, 8K UHDTV (7,680 × 4,320 pixels) has been developed. Since 8K has large motion by zooming that is difficult to be predicted by block matching, it is important to improve zoom motion estimation. In this paper, to handle zooming in 8K video sequences, we propose a method for improving the picture quality by global zoom estimation based on motion vector analysis extracted by block matching.
