Video Handling Research Articles

Troubling Records

Video records created by perpetrators and witnesses of violent crime are increasingly used as evidence in criminal investigations and court proceedings. When these records include the sexual assault, torture, and murder of individuals, they carry significant power to harm those exposed to them, but most importantly, through repeated viewing, they continue to harm those individuals whose suffering is immortalized therein. Using case study methods, including in-depth interviews with those centrally involved in the case, interviews with criminal justice professionals currently working with video evidence of violent crime, and a review of official documents and media reports, this article examines the tragic Canadian case of serial killers Paul Bernardo and Karla Homolka and the videos they recorded of their crimes. We observe that challenging decisions regarding the handling of video records of violent crime during the investigation process, the viewing of such records in court, and access to them by the public and press during the criminal justice process continue to be areas of concern and contestation, pitting principles of open justice against those of victim dignity and privacy. However, challenges regarding access to video records do not end with a trial and an ultimate verdict of guilt or innocence; rather, decisions continue to be made about the preservation or destruction, the storing and cataloguing, and access to archived material. In examining questions regarding the preservation and continued use of the records, we conclude that a responsible and ethical approach to these challenges is best achieved through what Caswell called a survivor-centred approach. We suggest that this approach should include recognizing the traumatic potentiality of records, providing safety and support to those affected, recognizing the potential of records to produce and perpetuate injustice, respecting the autonomy and decisions of survivors, and accepting and facilitating the right to be forgotten.

FPGA-Based Photoelectric Detection Control System with Image Signal Acquisition

It has as of late been feasible to foster calculations for video picture handling utilizing field programmable gate arrays (FPGAs). A wide scope of video picture handling applications has been made conceivable by the FPGA’s exceptional plan. On two FPGA structures, three such calculations will be executed in FPGAs in this paper. Programming has developed less valuable in video handling as picture sizes and bit profundities have expanded. Video handling requires rapid continuous frameworks like those that are the focal point of this review. Satellite and ground-based identification frameworks create a great deal of information, which may be hard to manage. Specifically, lessening how much information to be handled by DSP frameworks guarantees that main applicable information is given to a human expert. Video handling in what is to come is probably going to depend on DSP frameworks, with minimal human mediation. Human information investigators are costly and may not be totally exact; accordingly, this is obviously invaluable.

Optimized Hand Gesture Based Home Automation for Feebles

Abstract: Home automation innovation is utilized to plan and actualize inaccessible, vitality proficient and versatile keen homes with the essential highlights that guarantee inhabitant consolation and security. A savvy domestic robotization framework that mechanizes fans, lights, and other apparatuses for individuals with disabilities, the elderly, and out of commission patients utilizing hand signals. The framework comprises networks (sensors and gadget actuators and cameras that portray a controller that communicates with a hand-off that speaks to the client interface and an Arduino microcontroller). Smart homes are cost effective since they utilize video handling frameworks and sensors. Send and get commands utilizing the MQTT server. It employs a remote WIFI module named Esp8266 NodeMCU to supply smooth and hassle-free WIFI use.

Applications of Fuzzy dot i* algebra in Computer Vision

Right now shows another route sort of identifying an edges and corners in the computer vision calculation. The Edge location is a key purpose of numerous calculations, both in picture preparing and video handling. It is significant that the calculation is proficient quick to bring out through the whole program. The custom system is to utilize the edge recognition it's not giving the better outcome dependent on the presumptions. In these conventional procedures here and there is vulnerability of the edge, and the man can't recognize whether it is the edge or not. So as to turn the fuzzy dot i* algebra based edge and corner (named as FDIA) all things considered and tackle the above issues. Fuzzy innovation has been a recent rising innovation utilized in numerous fields, particularly in the image handling, and computer vision is one significant piece of the fuzzy innovation. In light of this innovation, the edges and corners recognize by vigilant corner identification, calculation likewise to portray devices from picture preparing and the speed with the assistance of MATLAB programming.

Design and Implementation of FPU for Optimised Speed

Currently, each CPU has one or additional Floating Point Units (FPUs) integrated inside it. It is usually utilized in math wide-ranging applications, such as digital signal processing. It is found in places be established in engineering, medical and military fields in adding along to in different fields requiring audio, image or video handling. A high-speed and energy-efficient floating point unit is naturally needed in the electronics diligence as an arithmetic unit in microprocessors. The most operations accounting 95% of conformist FPU are multiplication and addition. Many applications need the speedy execution of arithmetic operations. In the existing system, the FPM(Floating Point Multiplication) and FPA(Floating Point Addition) have more delay and fewer speed and fewer throughput. The demand for high speed and throughput intended to design the multiplier and adder blocks within the FPM (Floating point multiplication)and FPA(Floating Point Addition) in a format of single precision floating point and double-precision floating point operation is internally pipelined to achieve high throughput and these are supported by the IEEE 754 standard floating point representations. This is designed with the Verilog code using Xilinx ISE 14.5 software tool is employed to code and verify the ensuing waveforms of the designed code.

Analysis of statistical data on drop collisions in an aerosol flow during experiments

The study presents a software code developed by using Mathematica. This code allows the automatic analysis of breakup consequences of heterogeneous drops. Moreover, we show how statistical data on drop collisions in a sprayed aerosol flow can be collected using this code. For this purpose, we have compared results of manual handling of video with automatic one.

An UHD video handling system using a scalable server over an IP network

Ultra-high definition (UHD) videos, such as 4K and 8K, have four times higher resolution than current HDTV videos. Broadcasting stations want to deliver these videos with as little loss as possible. However, uncompressed UHD video handling systems, such as storage and transmission systems, on IP networks are not available. We researched and developed a scalable high-speed video server system to store and deliver HD or 4K videos without compression by adapting a PC cluster technology. To handle videos with higher resolution than 4K, we also developed a method that synchronises with multiple the servers and 4K video transmission systems. We achieved 54 Gbit/s delivery performance with single cluster server comprising 24 PCs. We also implemented the synchronisation method on the server and QG-70 video transmission system. As a result, we were able to demonstrate the world's first bi-directional, real-time, uncompressed 8K-video transmission system and the 8K video-on-demand system.

An UHD video handling system using a scalable server over an IP network

Ultra-high definition (UHD) videos, such as 4K and 8K, have four times higher resolution than current HDTV videos. Broadcasting stations want to deliver these videos with as little loss as possible. However, uncompressed UHD video handling systems, such as storage and transmission systems, on IP networks are not available. We researched and developed a scalable high-speed video server system to store and deliver HD or 4K videos without compression by adapting a PC cluster technology. To handle videos with higher resolution than 4K, we also developed a method that synchronises with multiple the servers and 4K video transmission systems. We achieved 54 Gbit/s delivery performance with single cluster server comprising 24 PCs. We also implemented the synchronisation method on the server and QG-70 video transmission system. As a result, we were able to demonstrate the world's first bi-directional, real-time, uncompressed 8K-video transmission system and the 8K video-on-demand system.

SoundRiver:Semantically-Rich Sound Illustration

Sound is an integral part of most movies and videos. In many situations, viewers of a video are unable to hear the sound track, for example, when watching it in a fast forward mode, viewing it by hearing-impaired viewers or when the plot is given as a storyboard. In this paper, we present an automated visualization solution to such problems. The system first detects the common components (such as music, speech, rain, explosions, and so on) from a sound track, then maps them to a collection of programmable visual metaphors, and generates a composite visualization. This form of sound visualization, which is referred to as SoundRiver, can be also used to augment various forms of video abstraction and annotated key frames and to enhance graphical user interfaces for video handling software. The SoundRiver conveys more semantic information to the viewer than traditional graphical representations of sound illustration, such as phonoautographs, spectrograms or artistic audiovisual animations.

Functional Characterization of Three G Protein-coupled Receptors for Pigment Dispersing Factors in Caenorhabditis elegans

Here, we report the identification, cloning, and functional characterization of three Caenorhabditis elegans G protein-coupled pigment dispersing factor (PDF) receptors, which we designated as Ce_PDFR-1a, -b, and -c. They represent three splice isoforms of the same gene (C13B9.4), which share a high degree of similarity with the Drosophila PDF receptor and are distantly related to the mammalian vasoactive intestinal peptide receptors (VPAC2) and calcitonin receptors. In a reverse pharmacological screen, three bioactive C. elegans neuropeptides, which were recently identified as the Drosophila PDF orthologues, were able to activate these receptors in a dose-dependent manner with nanomolar potency (isoforms a and b). Integrated green fluorescent protein reporter constructs reveal the expression of these PDF receptors in all body wall muscle cells and many head and tail neurons involved in the integration of environmental stimuli and the control of locomotion. Using a custom data analysis system, we demonstrate the involvement of this newly discovered neuropeptide signaling system in the regulation of locomotor behavior. Overexpression of PDF-2 phenocopies the locomotor defects of a PDF-1 null mutant, suggesting that they elicit opposite effects on locomotion through the identified PDF receptors. Our findings strengthen the hypothesis that the PDF signaling system, which imposes the circadian clock rhythm on behavior in Drosophila, has been functionally conserved throughout the protostomian evolutionary lineage.

Multimodal Video Indexing: A Review of the State-of-the-art

Efficient and effective handling of video documents depends on the availability of indexes. Manual indexing is unfeasible for large video collections. In this paper we survey several methods aiming at automating this time and resource consuming process. Good reviews on single modality based video indexing have appeared in literature. Effective indexing, however, requires a multimodal approach in which either the most appropriate modality is selected or the different modalities are used in collaborative fashion. Therefore, instead of separately treating the different information sources involved, and their specific algorithms, we focus on the similarities and differences between the modalities. To that end we put forward a unifying and multimodal framework, which views a video document from the perspective of its author. This framework forms the guiding principle for identifying index types, for which automatic methods are found in literature. It furthermore forms the basis for categorizing these different methods.

Multimedia integration into the blue-c API

In this article, we present the blue-c application programming interface (API) and discuss some of its performance characteristics. The blue-c API is a software toolkit for media-rich, collaborative, immersive virtual reality applications. It provides easy to use interfaces to all blue-c technology, including immersive projection, live 3D video acquisition and streaming, audio, tracking, and gesture recognition. We emphasize on our performance-optimized 3D video handling and rendering pipeline, which is capable of rendering 3D video inlays consisting of up to 30,000 fragments updated at 10 Hz in real time, enabling remote users to meet inside our virtual environment.

Design and Realization of an On-line Database for Multidimensional Microscopic Images of Biological Specimens

The BioImage database is a new scientific database for multidimensional microscopic images of biological specimens, which is available through the World Wide Web (WWW). The development of this database has followed an iterative approach, in which requirements and functionality have been revised and extended. The complexity and innovative use of the data meant that technical and biological expertise has been crucial in the initial design of the data model. A controlled vocabulary was introduced to ensure data consistency. Pointers are used to reference information stored in other databases. The data model was built using InfoModeler as a database design tool. The database management system is the Informix Dynamic Server with Universal Data Option. This object-relational system allows the handling of complex data using features such as collection types, inheritance, and user-defined data types. Informix datablades are used to provide additional functionality: the Web Integration Option enables WWW access to the database; the Video Foundation Blade provides functionality for video handling.

Video handling with music and speech detection

The audio-based approach to video indexing described by the authors detects music and speech independently even when they occur simultaneously. The indexed video segments, when presented on the Video Sound Browser, let users randomly access the video. The Video in Time system provides different video condensation levels based on video structuring that can link the video segments and the director's intentions.

The Design Challenges of Full-Motion Video for PC-Compatible Computer Systems

In this article full-motion video applications for PC-compatible computer systems are divided into three subdivisions, according to functionality and application. The issues of the decoding and encoding of composite video signals, and of the keying and overlay of video signals originating from natural sources and signals synthesized by computer graphical means, are discussed as they relate to PC-compatible personal computer systems. The problems presented by the combination of interlaced and noninterlaced video signals, and by the requirements for color-space conversion, are reviewed. A brief discussion of compression schemes for the computerized handling of motion video is offered, followed by a review of design issues relating to image-processing structures and image-capture hardware.