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Video frame interpolation and prediction aim to synthesize frames in-between and subsequent to existing frames, respectively. Despite being closely-related, these two tasks are traditionally studied with different model architectures, or same architecture but individually trained weights. Furthermore, while arbitrary-time interpolation has been extensively studied, the value of arbitrary-time pred...Show More
Attribute framing is a typical framing effect, which affects consumers'decision-making to a great extent. This paper subdivides product types and consumer involvement types, explores the influence of attribute framing on different types of product purchase intention under involvement scenarios, and further finds out the main attributes that affect the cognitive or emotional involvement of experime...Show More
In this study, we analyze the impact of different types of frame traffic on the self-similar behavior of the aggregated frame traffic, collected from the IETF 2005 conference. Our measurement results show that the different types of frame traffic have various impacts on the self-similarity of the aggregated frame traffic in different session periods, and these impacts are simultaneously related wi...Show More
Generally, H.264/AVC video coding standard with hierarchical bipredictive picture (HBP) structure outperforms the classical prediction structures such as “IPPP...” and “IBBP...” through better exploitation of data correlation using reference frames and unequal quantization setting among frames. However, multiple reference frames (MRFs) techniques are not fully exploited in the HBP scheme because o...Show More
In the current implementation, the network layer lacks awareness of the specific characteristics of data within packet payloads. This limitation prevents the network from recognizing the importance of individual packets during their transmission through the network. However, with the increasing prevalence of video streaming as the primary form of Internet traffic, there is a need to address this i...Show More
This paper addresses the issue of data compression in distributed speech recognition on the basis of a variable frame rate and length analysis method. The method first conducts frame selection by using a posteriori signal-to-noise ratio weighted energy distance to find the right time resolution at the signal level, and then increases the length of the selected frame according to the number of non-...Show More
Two mistakes in change detection were overcome, namely detecting the revealed background to be the moving object or the large area with similar gray level in the same moving object to be background. The algorithm reconstructed the complete background image by accumulating inter-frame information to get the accurate segmentation result. Experiments show that this algorithm has robustness and can be...Show More
News framing plays a crucial role in shaping public opinion and understanding of events. Traditional news frame analysis relies heavily on manual annotation, which is timeconsuming and labor-intensive. This paper proposes a novel deep learning-based method for automatic news frame identification (ANFI). By leveraging a pre-trained Transformer encoder and frame-specific semantic features, ANFI capt...Show More
Multiple Car detection, recognition and tracking is one of the most rapidly growing system in image processing used for video surveillance system. This has been designed with an intention to reduce the traffic congestion in highways, decrease street misshape, Identify people in crime scène, reduce road accidents, vehicle theft detection, living zone etc. Detecting the shape of an moving car in a v...Show More
We experimentally explore the forecast accuracy of three forecast model types, namely (i) Auto-Regressive (AR), (ii) Moving Average (MA), and (iii) Exponentially Weighted Moving Average (EWMA). Specifically, we use a set of five MPEG-4 video traces and measure the Normalized Mean Squared Error (NMSE) for each of the model types with varying model parameters. We find that increasing model order is ...Show More
This paper provide a brief idea about the modeling of solar photovoltaic grid connected system. As the grid is a highly nonlinear system so it requires highly efficient inverter so as to minimize total harmonic distortion. It is also required to find out the exact position where maximum power can be injected. Moreover the paper tries to explain the controlling method used for controlling the duty ...Show More
Frame relay (FR) service via an FR interface over a common asynchronous transfer mode (ATM) backbone network requires an FR-to-ATM interworking unit (IWU), the functionality of which directly impacts the engineering of the overall network in terms of the capacity required, quality of service (QoS) expected, and the interference among different types of services being offered on the same platform. ...Show More
The screen has always acted like a picture, conveying the existence from the other side. Like a window, the screen opens a passage from this world to another world. By allowing the viewer to experience relief from the gloomy feeling in the claustrophobic space, this study has explored the feedback received from the viewer after viewing the scenery from the interactive virtual window. The prototype...Show More
Recently, in the building practice, steel framed walls have increasingly been used. Such wall structures have a lot of advantages. At the same time, such walls have some disadvantages, and the most important of them is the presence of metal elements which lead to the appearance of thermal bridges and, as a result, to an increase in the overall heat transfer coefficient of the wall structure. The o...Show More
In this paper, we investigate the performance of MMR system in non-transparent mode. The IEEE 802.16j MMR system has two mode of operation, single-frame mode and multi-frame mode. In the analysis, we assume that channel interference between MR-BS and RS, or between RSs anywhere in the given area is negligible. The performance is presented in terms of frame efficiency by varying number of RS and BS...Show More
The aim of this paper is to examine the impact of successive B frames using H.264 and H.265 compression techniques on video content of 4K resolution and Full HD when changing their quality. The results obtained several analysis parameters are presented by tables and graphics, based on which conclusions were made.Show More
Motion-compensated frame rate up-conversion (MC-FRUC) consists of two key elements: motion estimation and motion-compensated frame interpolation. The motion estimation algorithm presented in , which is used in the MC-FRUC method proposed in this paper, provides unidirectional motion trajectories. The advantage of this motion estimation algorithm, besides its accuracy, is that it provides informati...Show More
Block-based motion estimation (ME) and motion compensation (MC) techniques are widely used in modern video processing algorithms and compression systems. The great variety of video applications and devices results in diverse compression specifications, such as frame rates and bit rates. In this paper, we study the effect of frame rate and compression bit rate on block-based ME and MC as commonly u...Show More
As the network video market grows rapidly, the network video quality assessment concerns a lot. This paper analyzes the reasons that influence the transmission quality of network video. A real-time packet analysis system is designed to monitor packet loss. Then a set of experiments based on our system are conducted to show the effect of packet loss on video quality. Furthermore, the effect on the ...Show More
Data frames are a tabular data structure widely used in transforming data to an appropriate form in data analysis, especially in data wrangling. However, when data frames are implemented with libraries rather than supported at the language level, it is hard to find out errors due to the limitation of type checking on columns. Data scientists may encounter errors due to missing column labels or inc...Show More
It has been shown that ultra-narrow-band (uNB) massive machine type communication using very compact devices with direct access to satellites is possible at ultra low rate. This enables global ubiquitous coverage for terminals without terrestrial service in the Internet of Remote Things and provides access to any satellite up to the the geostationary earth orbit. The lower data rate for waveforms ...Show More

Combining MPEG Tools to Generate Video Summaries Adapted to the Terminal and Network

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The Computer Journal
Year: 2013 | Volume: 56, Issue: 5 | Journal Article |
Moving picture experts group (MPEG) standards provide tools for a broad range of purposes, covering from coding to metadata description tools. In this paper, the combined use of tools from different MPEG standards is described in the context of a video summarization application. The main objective of the framework is the efficient generation of summaries, integrated with their adaptation to the us...Show More

Combining MPEG Tools to Generate Video Summaries Adapted to the Terminal and Network

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Year: 2013 | Volume: 56, Issue: 5 | Journal Article |
In order to extract valid information from video, process video data efficiently, and reduce the transfer stress of network, more and more attention is being paid to the video processing technology. The amount of data in video processing is significantly reduced by using video segmentation and key-frame extraction. So, these two technologies have gradually become the focus of research. With the fe...Show More
Key frames are representative frames in a shot. With key frames, video information can be efficiently managed in retrieval and indexing. In view of the scenery video characteristic and the user attention focus, this paper proposed a new semantic based key frame extraction method. First according to the amplitude and the angle of P frame’s motion vector, the shot motion is judged; and then accordin...Show More
Moving object detection is fundamental step for automated surveillance system. Generally object detection is performed by some detectors or background subtraction technique. Ultimate aim to detect an object is to detect its edges from the background. There are different methods available for the edge detection of the object. In this paper we propose an idea to detect the edges of the moving object...Show More