High Frame-Rate Television
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Coding and Modulation for Digital Television Multimedia Systems and Applications Series
CODING AND MODULATION FOR DIGITAL TELEVISION MULTIMEDIA SYSTEMS AND APPLICATIONS SERIES Consulting Editor Borko Furht Florida Atlantic University Recently Published Titles: CELLULAR AUTOMATA TRANSFORMS: Theory and Applications in Multimedia Compression, Encryption, and Modeling, by Olu Lafe ISBN: 0-7923-7857- 1 COMPUTED SYNCHRONIZATION FOR MULTIMEDIA APPLICATIONS, by Charles B. Owen and Fillia Makedon ISBN: 0-7923-8565-9 STILL IMAGE COMPRESSION ON PARALLEL COMPUTER ARCHITECTURES, by Savitri Bevinakoppa ISBN: 0-7923-8322-2 INTERACTIVE VIDEO-ON-DEMAND SYSTEMS: Resource Management and Scheduling Strategies, by T. P. Jimmy To and Babak Hamidzadeh ISBN: 0-7923-8320-6 MULTIMEDIA TECHNOLOGIES AND APPLICATIONS FOR THE 21st CENTURY: Visions of World Experts, by Borko Furht ISBN: 0-7923-8074-6 INTELLIGENT IMAGE DATABASES: Towards Advanced Image Retrieval, by Yihong Gong ISBN: 0-7923-8015-0 BUFFERING TECHNIQUES FOR DELIVERY OF COMPRESSED VIDEO IN VIDEO-ON-DEMAND SYSTEMS, by Wu-chi Feng ISBN: 0-7923-9998-6 HUMAN FACE RECOGNITION USING THIRD-ORDER SYNTHETIC NEURAL NETWORKS, by Okechukwu A. Uwechue, and Abhijit S. Pandya ISBN: 0-7923-9957-9 MULTIMEDIA INFORMATION SYSTEMS, by Marios C. Angelides and Schahram Dustdar ISBN: 0-7923-9915-3 MOTION ESTIMATION ALGORITHMS FOR VIDEO COMPRESSION, by Borko Furht, Joshua Greenberg and Raymond Westwater ISBN: 0-7923-9793-2 VIDEO DATA COMPRESSION FOR MULTIMEDIA COMPUTING, edited by Hua Harry Li, Shan Sun, Haluk Derin ISBN: 0-7923-9790-8 REAL-TIME VIDEO COMPRESSION: Techniques and Algorithms, by Raymond Westwater and -
A Review and Comparison on Different Video Deinterlacing
International Journal of Research ISSN NO:2236-6124 A Review and Comparison on Different Video Deinterlacing Methodologies 1Boyapati Bharathidevi,2Kurangi Mary Sujana,3Ashok kumar Balijepalli 1,2,3 Asst.Professor,Universal College of Engg & Technology,Perecherla,Guntur,AP,India-522438 [email protected],[email protected],[email protected] Abstract— Video deinterlacing is a key technique in Interlaced videos are generally preferred in video broadcast digital video processing, particularly with the widespread and transmission systems as they reduce the amount of data to usage of LCD and plasma TVs. Interlacing is a widely used be broadcast. Transmission of interlaced videos was widely technique, for television broadcast and video recording, to popular in various television broadcasting systems such as double the perceived frame rate without increasing the NTSC [2], PAL [3], SECAM. Many broadcasting agencies bandwidth. But it presents annoying visual artifacts, such as made huge profits with interlaced videos. Video acquiring flickering and silhouette "serration," during the playback. systems on many occasions naturally acquire interlaced video Existing state-of-the-art deinterlacing methods either ignore and since this also proved be an efficient way, the popularity the temporal information to provide real-time performance of interlaced videos escalated. but lower visual quality, or estimate the motion for better deinterlacing but with a trade-off of higher computational cost. The question `to interlace or not to interlace' divides the TV and the PC communities. A proper answer requires a common understanding of what is possible nowadays in deinterlacing video signals. This paper outlines the most relevant methods, and provides a relative comparison. -
Playout Delay of TV Broadcasting
Master Thesis Playout delay of TV broadcasting Wouter Kooij 06/03/2014 University of Twente Faculty of Electrical Engineering, Mathematics and Computer Science Nederlandse Organisatie voor toegepast-natuurwetenschappelijk onderzoek, TNO Supervisors UT Prof. Dr. Ir. Boudewijn R. Haverkort Dr.ir. Pieter-Tjerk de Boer Supervisors TNO Ir. Hans Stokking Ray van Brandenburg, M.Sc. Date of the graduation 13/03/2014 Contents Acknowledgments 3 Nomenclature 5 1. Background 7 1.1. Introduction . .7 1.2. Research questions . .7 1.3. Outline . .8 2. Related Work 11 3. TV content delivery networks 13 3.1. Introduction . 13 3.2. Overview . 13 3.2.1. Analog TV . 14 3.2.2. Terrestrial, Satellite and Cable TV (DVB) . 15 3.2.3. IPTV . 15 3.3. TV Content delivery chain elements . 18 4. Delays in TV content delivery networks 21 4.1. Introduction . 21 4.2. Encoding and decoding . 22 4.2.1. Coding types . 23 4.2.2. Conclusion . 25 4.3. Transmission delays . 25 4.4. IPTV Techniques . 26 4.5. Delays in the KPN Chain . 26 5. Design and development of a playout difference measurement system 29 5.1. Introduction . 29 5.2. Content recognition techniques . 29 5.2.1. Audio fingerprinting . 31 5.3. Overview . 35 5.4. Reference time-source . 38 5.4.1. GPS as time-source . 38 5.4.2. GPS architecture in Android . 39 5.4.3. Obtaining GPS time in Android . 41 i Contents Contents 5.4.4. NTP as time-source . 44 5.4.5. NTP implementation in Android . 45 5.4.6. -
ICE Flexible, Scalable, Reliable Integrated Playout Solution
DATASHEET ICE Flexible, Scalable, Reliable Integrated Playout Solution Best-in-class software solution for the entire SDI or IP broadcast chain. In today’s market, you’re likely to be under pressure to reduce the cost and ICE dramatically increases efficiency while reducing complexity. It is a proven complexity of your operations while finding new ways to increase revenue system that helps you lower your costs, rapidly launch new revenue-generat- and protect business continuity. ing services and grow your business. To meet these challenges, you need a flexible, scalable, and highly efficient Best of all, Grass Valley designed ICE to deliver “5 nines” reliability, and we system that provides automated channel playout, enables rapid deployment back it up with the best customer support in the business. of new revenue-generating services, and facilitates disaster recovery. ICE was designed from the ground up to meet the demands of a wide variety Above all, you need a no-compromise solution that delivers proven reliability, of applications: reduces complexity and cost, enables future-proof expansion and is backed • Single-channel playout up by world-class service and support. • Channel expansion — multichannel playout • Multiplatform playout — simulcast/delayed (+1,+3, etc.)/OTT The solution is ICE. The integrated playout solution from Grass Valley. • Disaster recovery/back-up Grass Valley understands that broadcast master control and playout is a • Centralization complex operation where a large number of sophisticated systems must all • Migration to IP playout work together flawlessly. • Software-defined channels When we designed an integrated playout solution, we focused on what it takes to make a great channel, not just a set of features, so we created ICE. -
The Iudgglsi
The iudgGlsi / -_ *\--.\|ll/ -- J I I ll L__J-l-:r I - Jl I \r-u judged \* @trltog The Cable & Satellite lnternational Awandg are on technical rflerit and AWARDS rnaFket contribution by an independent, exPerienced and highly reapeeted pool of international industry figuree. Dr William Cooper .leff Heynen William is founder and chief executive Jeff currently serves as directing of independent interactive media analyst, broadband and IPTV at consultancy informitv, where he Infonetics Research. He joined advises clients on convergence and Infonetics in 2005, after four years digital media strategy and implementation. as senior product marketing manager with VolP Previously, as head of interactive at BBC Broadcast, switch equipment startup SentitO Networks, and he operationally managed the launch and delivery of two years as marketing communications manager its online and interactive TV services, William began with telecoms infrastructure manufacturer Tellabs. his career as a broadcast journalist and is a regular contributor to international conferences, with papers John Moroney published at both IBC and NAB, John is a founding director of Octegra, which provides Dirk Jaeger independent market research and Dirk acted as technical director at EuroCablelabs strategic advice for companies in the from Oct 2OO1 to Dec 2OO7. He is co-ordinating telecoms, lT and media sectors, John has 25 the EU-funded project ReDeSign and is active as years of industry knowledge. Prior to setting up chairman of technical committees of standardisation Octegra, John was a principal consultant at various bodies and associations, Has been Ovum, an associate director at Gartner and a appointed into various advisory committees, He is a senior executive with BT. -
Alchemist File - Understanding Cadence
GV File Understanding Cadence Alchemist File - Understanding Cadence Version History Date Version Release by Reason for changes 27/08/2015 1.0 J Metcalf Document originated (1st proposal) 09/09/2015 1.1 J Metcalf Rebranding to Alchemist File 19/01/2016 1.2 G Emerson Completion of rebrand 07/10/2016 1.3 J Metcalf Updated for additional cadence controls added in V2.2.3.2 12/10/2016 1.4 J Metcalf Added Table of Terminology 11/12/2018 1.5 J Metcalf Rebrand for GV and update for V4.*** 16/07/2019 1.6 J Metcalf Minor additions & corrections 05/03/2021 1.7 J Metcalf Rebrand 06/09/2021 1.8 J Metcalf Add User Case (case 9) Version Number: 1.8 © 2021 GV Page 2 of 53 Alchemist File - Understanding Cadence Table of Contents 1. Introduction ............................................................................................................................................... 6 2. Alchemist File Input Cadence controls ................................................................................................... 7 2.1 Input / Source Scan - Scan Type: ............................................................................................................ 7 2.1.1 Incorrect Metadata ............................................................................................................................ 8 2.1.2 Psf Video sources ............................................................................................................................. 9 2.2 Input / Source Scan - Field order .......................................................................................................... -
WISI Significantly Reduces Distribution Costs for Broadcasters and Video Content Providers with Its Smart Broadcast Platform Firefly
112 – 19055 Airport Way Pitt Meadows, BC Canada V3Y 0G4 +1-604-998-4665 www.incanetworks.com WISI Significantly Reduces Distribution Costs for Broadcasters and Video Content Providers with its Smart Broadcast Platform Firefly Niefern-Öschelbronn, August 30, 2018 – Video Network Operators dependent on the reception of video streams from satellite, terrestrial, cable or IPTV in closed networks, now have a new option in WISI’s Smart Broadcast Platform Firefly. WISI is a global innovator of products and solutions for video and broadband networks based in Germany. The company plans on introducing the Firefly platform at IBC Amsterdam 2018 (stand B50 in hall 5). This professional end-to-end solution from playout to headend uses HLS, the proven http-based streaming protocol and is a well-suited and cost-effective alternative to video delivery via satellite, antenna and dedicated lines. Linear TV channels and video content are delivered to headends as HLS streams over the Internet with minimal quality losses. The WISI solution is ideal for broadcasters and TV and video service providers aiming to significantly reduce distribution costs. The unique Smart Broadcast Platform Firefly also offers new options for cable network operators and enables the hospitality industry to enhance existing offers with additional content and video services. Service providers, for example, can now supply viewers from abroad with TV channels from their home countries that cannot be received via regular service offerings. The platform also offers new and efficient opportunities for corporate TV systems to reach employees located at different national and international sites. Firefly HLS IRD/Receiver The heart of this compact solution is the Firefly HLS IRD/Receiver which WISI developed for alternative delivery applications. -
Content-Aware Playout and Packet Scheduling For
IEEE TRANSACTIONS ON MULTIMEDIA, VOL. 10, NO. 5, AUGUST 2008 885 Content-Aware Playout and Packet Scheduling for Video Streaming Over Wireless Links Yan Li, Senior Member, IEEE, Athina Markopoulou, Member, IEEE, John Apostolopoulos, Fellow, IEEE, and Nicholas Bambos Abstract—Media streaming over wireless links is a challenging at the receiver (Rx), so as to overcome the variations of the problem due to both the unreliable, time-varying nature of the channel and maximize the perceived video quality, in terms of wireless channel and the stringent delivery requirements of media both picture and playout quality. We couple the action of the traffic. In this paper, we use joint control of packet scheduling at the transmitter and content-aware playout at the receiver, so as transmitter and the receiver, so that they coordinate to overcome to maximize the quality of media streaming over a wireless link. the variations of the wireless channel. We jointly consider and Our contributions are twofold. First, we formulate and study the optimize several layers, including packet scheduling at the problem of joint scheduling and playout control in the framework medium access control (MAC) layer, together with playout and of Markov decision processes. Second, we propose a novel con- content-awareness at the video application layer. Video content tent-aware adaptive playout control, that takes into account the content of a video sequence, and in particular the motion charac- is taken into account both in playout as well as in rate-distortion teristics of different scenes. We find that the joint scheduling and optimized packet scheduling. playout control can significantly improve the quality of the received We briefly note the following intuitive tradeoffs faced by the video, at the expense of only a small amount of playout slowdown. -
Be) (Bexncbe) \(Be
US 20090067508A1 (19) United States (12) Patent Application Publication (10) Pub. No.: US 2009/0067508 A1 Wals (43) Pub. Date: Mar. 12, 2009 (54) SYSTEMAND METHOD FOR BLOCK-BASED Related U.S. Application Data PER-PXEL CORRECTION FOR FILMI-BASED SOURCES (60) Provisional application No. 60/971,662, filed on Sep. 12, 2007. (75) Inventor: Edrichters als Publication Classification (51) Int. Cl. Correspondence Address: H04N II/02 (2006.01) LAW OFFICE OF OUANES. KOBAYASH P.O. Box 4160 (52) U.S. Cl. ............................ 375/240.24; 375/E07.076 Leesburg, VA 20177 (US) (57) ABSTRACT (73) Assignee: Broadcom Corporation, Irvine, A system and method for block-based per-pixel correction for CA (US) film-based sources. The appearance of mixed film/video can be improved through an adaptive selection of normal deinter (21) Appl. No.: 12/105,664 laced video relative to inverse telecine video. This adaptive selection process is based on pixel difference measures of (22)22) Filed: Apr.pr. 18,18, 2008 sub-blocks within defined blocks of ppixels. SOURCE FILM FRAMES Frame 1 Frame 2 Fram Frame 4 Frame 5 Frame 6 INTERLACED 3:2 VIDEO (BE) 9.(BE) (BEXNCBE)( \(BE). FIELD PHASE DEINTERLACED FRAMES USING REVERSE 3:2 SOURCE OF f BWD WD AWG B WD B FWD AWG B) FWD BD MISSING FIELD Patent Application Publication Mar. 12, 2009 Sheet 1 of 4 US 2009/0067508 A1 I'61) CIE?OV/THE_LNIEC] €)NISTSEIN\/H-] Z.8ESHE/\EH Patent Application Publication Mar. 12, 2009 Sheet 2 of 4 US 2009/0067508 A1 W9. s W9. US 2009/0067508 A1 Mar. -
High-Quality Spatial Interpolation of Interlaced Video
High-Quality Spatial Interpolation of Interlaced Video Alexey Lukin Laboratory of Mathematical Methods of Image Processing Department of Computational Mathematics and Cybernetics Moscow State University, Moscow, Russia [email protected] Abstract Deinterlacing is the process of converting of interlaced-scan video sequences into progressive scan format. It involves interpolating missing lines of video data. This paper presents a new algorithm of spatial interpolation that can be used as a part of more com- plex motion-adaptive or motion-compensated deinterlacing. It is based on edge-directional interpolation, but adds several features to improve quality and robustness: spatial averaging of directional derivatives, ”soft” mixing of interpolation directions, and use of several interpolation iterations. High quality of the proposed algo- rithm is demonstrated by visual comparison and PSNR measure- ments. Keywords: deinterlacing, edge-directional interpolation, intra- field interpolation. 1 INTRODUCTION (a) (b) Interlaced scan (or interlacing) is a technique invented in 1930-ies to improve smoothness of motion in video without increasing the bandwidth. It separates a video frame into 2 fields consisting of Figure 1: a: ”Bob” deinterlacing (line averaging), odd and even raster lines. Fields are updated on a screen in alter- b: ”weave” deinterlacing (field insertion). nating manner, which permits updating them twice as fast as when progressive scan is used, allowing capturing motion twice as often. Interlaced scan is still used in most television systems, including able, it is estimated from the video sequence. certain HDTV broadcast standards. In this paper, a new high-quality method of spatial interpolation However, many television and computer displays nowadays are of video frames in suggested. -
Deinterlacing Network for Early Interlaced Videos
1 Rethinking deinterlacing for early interlaced videos Yang Zhao, Wei Jia, Ronggang Wang Abstract—In recent years, high-definition restoration of early videos have received much attention. Real-world interlaced videos usually contain various degradations mixed with interlacing artifacts, such as noises and compression artifacts. Unfortunately, traditional deinterlacing methods only focus on the inverse process of interlacing scanning, and cannot remove these complex and complicated artifacts. Hence, this paper proposes an image deinterlacing network (DIN), which is specifically designed for joint removal of interlacing mixed with other artifacts. The DIN is composed of two stages, i.e., a cooperative vertical interpolation stage for splitting and fully using the information of adjacent fields, and a field-merging stage to perceive movements and suppress ghost artifacts. Experimental results demonstrate the effectiveness of the proposed DIN on both synthetic and real- world test sets. Fig. 1. Illustration of the interlaced scanning mechanism. Index Terms—deinterlacing, early videos, interlacing artifacts this paper is to specifically design an effective deinterlacing network for the joint restoration tasks of interlaced frames. I. INTRODUCTION The traditional interlaced scanning mechanism can be de- Interlacing artifacts are commonly observed in many early fined as Y = S(X1; X2), where Y denotes the interlaced videos, which are caused by interlacing scanning in early frame, S(·) is the interlaced scanning function, and X1; X2 television systems, e.g., NTSC, PAL, and SECAM. As shown denote the odd and even fields. Traditional deinterlacing in Fig. 1, the odd lines and even lines of an interlaced frame are methods focus on the reversed process of S(·), which can scanned from two different half-frames, i.e., the odd/top/first be roughly divided into four categories, i.e., temporal inter- field and the even/bottom/second field. -
Transitioning Broadcast to Cloud
applied sciences Article Transitioning Broadcast to Cloud Yuriy Reznik, Jordi Cenzano and Bo Zhang * Brightcove Inc., 290 Congress Street, Boston, MA 02210, USA; [email protected] (Y.R.); [email protected] (J.C.) * Correspondence: [email protected]; Tel.: +1-888-882-1880 Abstract: We analyze the differences between on-premise broadcast and cloud-based online video de- livery workflows and identify technologies needed for bridging the gaps between them. Specifically, we note differences in ingest protocols, media formats, signal-processing chains, codec constraints, metadata, transport formats, delays, and means for implementing operations such as ad-splicing, redundancy and synchronization. To bridge the gaps, we suggest specific improvements in cloud ingest, signal processing, and transcoding stacks. Cloud playout is also identified as critically needed technology for convergence. Finally, based on all such considerations, we offer sketches of several possible hybrid architectures, with different degrees of offloading of processing in cloud, that are likely to emerge in the future. Keywords: broadcast; video encoding and streaming; cloud-based services; cloud playout 1. Introduction Terrestrial broadcast TV has been historically the first and still broadly used technology for delivery of visual information to the masses. Cable and DHT (direct-to-home) satellite TV technologies came next, as highly successful evolutions and extensions of the broadcast TV model [1,2]. Yet, broadcast has some limits. For instance, in its most basic form, it only enables linear delivery. It also provides direct reach to only one category of devices: TV sets. To Citation: Reznik, Y.; Cenzano, J.; reach other devices, such as mobiles, tablets, PCs, game consoles, etc., the most practical Zhang, B.