From the perspective of average viewer, high definition video streams such as HD (High Definition) and UHD (Ultra HD) are increasing their internet presence year over year. This is not surprising, ...having in mind expansion of HD streaming services, such as YouTube, Netflix etc. Therefore, high definition video streams are starting to challenge network resource allocation with their bandwidth requirements and statistical characteristics. Need for analysis and modeling of this demanding video traffic has essential importance for better quality of service and experience support. In this paper we use an easy-to-apply statistical model for prediction of 4K video traffic. Namely, seasonal autoregressive modeling is applied in prediction of 4K video traffic, encoded with HEVC (High Efficiency Video Coding). Analysis and modeling were performed within R programming environment using over 17.000 high definition video frames. It is shown that the proposed methodology provides good accuracy in high definition video traffic modeling.
Animation frame content is analyzed in this paper. The animation found in frame/video content is usually characterized by specific color distribution and texture. The existence of animation within a ...frame can be described by carefully selected features. We analyzed both fully and partially animated frames. Here, we present our initial results related to automatic animation interpretation using different types of video sequences.
U radu je opisan postupak projektovanja i izrade kristalnih filtara na bazi kristala kvarca, koji rade na učestanosti od 70 MHz, a koji imaju kontrolisanu faznu karakteristiku. Novi tip kristalnog ...filtra propusnika učestanosti sa centralnom frekvencijom 70MHz projektovan je prema zahtevima korisnika opisanim u listi tehničkih podataka. Ovakvi filtra imaju razne namene u vojnim i civilnim telekomunikacijama.
New stop band 48 MHz crystal filter Dujkovic, Dragi M.; Nesic, Snezana Dedic; Grubisic, Lenkica ...
2021 29th Telecommunications Forum (TELFOR),
2021-Nov.-23
Conference Proceeding
Band stop filter or band-rejection filter, with narrow attenuation characteristic is described in this paper. These filters do not pass signals within the cutoff frequencies. Аt the specific request ...of the customer, a crystal filter was realized, which operates at a frequency of 48MHz. When measuring the non-linearities of power amplifiers, a very narrow notch filter can be very useful to avoid the carrier frequency. Use of the filter may ensure that the maximum input power of a spectrum analyser used to detect spurious content will not be exceeded. Such filters are used in modern telecommunications for civilian and military purposes.
The industrial consortium AOMedia has recently developed the AV1 (AOMedia Video 1) format considered as a successor of VP9. One of the main goals with the video coding and compression format is to ...enable efficient Web based video content delivery, as in the case of OTT (Over-the-top) services. Nowadays, there are different AV1 software implementations available for experimental analysis besides the reference tool libaom. The Scalable Video Technology for AV1, or SVT-AV1 CODEC, is oriented towards further optimizations for specific Intel hardware. In this paper, we have performed a video quality assessment experiment with some of the SVT-AV1 implementations using 4k like video. The results show the advantages of SVT-AV1 format, as well as its performance for different quantization factors.
Entire world has been dealing with the number of new Coronavirus 2 or COVID-19 cases. The spread of this severe acute respiratory syndrome has produced many concerns worldwide. Having data related to ...coronavirus available for tests, novel models for forecasting the number of new cases can be developed. In this paper, a long short-term memory (LSTM) based methodology is applied for such prediction. Here, experimental analysis is performed with the parameters, such as the number of layers and units of the network. The root mean squared error is calculated for data corresponding to the Republic of Serbia, as well as per different continents. The results show that LSTM model can be useful for further analysis and time series prediction.
Današnja istraţivanja vezana za kardiovaskularne bolesti usmerena su ka raĉunarskoj analizi kardiosignala, digitalnih zapisa kardiovaskularne aktivnosti i funkcionalnosti, imajući u vidu dva aspekta: ...ekonomski i telemedicinski. U cilju izbegavanja komplikovanih i skupih sistema za analizu kardiološkog stanja, efikasne tehnike automatske (mašinske) obrade signala imaju veliki znaĉaj za potrebe primarne nege. ObezbeĊivanje visokokvalitetnog signala koji opisuje stanje organizma, radi dobijanja informacije o patofiziologiji, predstavlja prioritet. U ovoj disertaciji se pod kardiosignalima podrazumevaju elektrokardiogram (ECG) i fonokardiogram (PCG), kao tzv. primarni kardiosignali, koji predstavljaju reprezentativne primere elektriĉnog i vibroakustiĉnog zapisa rada kardiološkog sistema.Talasna (vejvlet) transformacija se ĉesto koristi za potrebe reprezentacije sloţenih signala, pored ostalih i kardiosignala, i izdvajanja njihovih vaţnih karakteristika. Ova transformacija je otvorila vrata razvoju razliĉitih tehnika koje mogu biti od znaĉaja za konkretne primene, kao što je kliniĉka praksa u medicini. Nakon uvoĊenja talasne transformacije, javila su se i poboljšanja u vidu tzv. druge generacije talasića. Druga generacija predstavlja samo alternativan pristup za implementaciju diskretne talasne transformacije, dok je liftingšema efikasan algoritam za konstrukciju FIR filtar banki zasnovanih na talasićima (vejvletima).U ovoj disertaciji je pretpostavljeno da se upotrebom talasne transformacije i lifting šeme moţe efikasno analizirati kardiosignal. Naime, pretpostavljena je veza izmeĊu kardiosignala i primene diskretne talasne transformacije u cilju bolje vizuelizacije njegovog sadrţaja. Za takvu namenu znaĉajni su spektralni i spektrogramski prikazi signala. Zdruţena vremensko-frekvencijska transformacija, kao što je kontinualna talasna transformacija, multifraktalan spektar, ali i empirijski pristup, moţe biti primenjen u analizi kardiosignala. Shodno potrebi analize, neophodna su rešenja koja omogućavaju izdvajanje i/ili detektovanje srĉanih dogaĊaja od kliniĉke vaţnosti.Neadekvatna primena diskretne talasne transformacije u redukciji šuma utiĉe na visokofrekvencijske komponente kardiosignala. Ovakve komponente ne moraju biti amplitudski dominantne i jasno uoĉljive, a mogu biti kliniĉki relevantne u dijagnostici. Manifestacija klik-sindroma u fonokardiografiji je dobar primer. Za potrebe istraţivanja obavljena je akvizicija fonokardiograma pedijatrijskih pacijenata, zdravih i pacijenata sa prolapsom mitralne valvule (PMV). Njihovom upotrebom i analizom, predloţen je model za vizuelnu verifikaciju nalaza primenom diskretne talasne transformacije. Upotrebljena je interpretacija detalja pomoću greške predikcije i njihova efikasna lokalizacija u vremenskom domenu. Izbor reda prediktora kontrolisan je detekcijom dominantnih srĉanih zvukova i indikacijom potencijalnih abnormalnosti.Ovakva kontrolisana analiza smanjuje rizik zanemarivanja kliniĉki vaţnih informacija, kao što je klik-sindrom. Predloţeni model i eksperimentalni rezultati ukazuju na nekoliko mogućnosti za dalja istraţivanja i razvoj samopodešavajućih pristupa za analizu kardiosignala.
There has been considerable effort in designing new video coding and compression standards. The AV1 is one of the most recent formats valuable for OTT video services and internet delivery. In this ...paper SVT-AV1 is analyzed according to standard statistical techniques. Moreover, it is compared to VP9 and HEVC video formats in the case of 4k video delivery. The comparison is made for three video sequences from PSNR and time coding standpoint. The results show advantages of SVT-AV1 format.
Nowadays advantages in face-based modification using DeepFake algorithms made it possible to replace a face of one person with a face of another person. Thus, it is possible to make not only ...copy-move modifications, but to implement artificial intelligence and deep learning for replacing face movements from one person to another. Still images can be converted into video sequences. Consequently, the contemporaries, historical figures or even animated characters can be lively presented. Deepfakes are becoming more and more successful and it is difficult to detect them in some cases. In this paper we explain the video sequences we produced (e.g. using X2Face method, and First Order Motion Model for Image Animation) and perform deepfake video analysis using SIFT (Scale Invariant Feature Transform) based approach. The experiments show the simplicity in video forgery production, as well as the possible role of SIFT keypoints detection in differentiation between the deeply forged and original video content.
In this paper special attention is given to domain selection and local and global signal examination which is important for signal processing, especially in cardiosignals where physiological ...information is a priority. In the case of phonocardiographic signals, spectral components are analyzed using joint time-frequency and multifractal representation, as well as directly in time domain using second generation wavelets and normalized averaged Shannon energy. This paper describes novel techniques for computer-based analysis of heart sounds without reference electrocardiograms. Experimental performance results of multiscale based model show excellent results in fundamental heart sound detection and abnormality indication via singularity reoccurrence detection with preserving relevant singularities.
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