IST MPEG-4 Video Compliant Framework

Similar documents
MPEG-4: Overview. Multimedia Naresuan University

Spatial Scene Level Shape Error Concealment for Segmented Video

EE Multimedia Signal Processing. Scope & Features. Scope & Features. Multimedia Signal Compression VI (MPEG-4, 7)

Video Compression MPEG-4. Market s requirements for Video compression standard

MPEG-4. Today we'll talk about...

Thanks for slides preparation of Dr. Shawmin Lei, Sharp Labs of America And, Mei-Yun Hsu February Material Sources

MPEG-4 AUTHORING TOOL FOR THE COMPOSITION OF 3D AUDIOVISUAL SCENES

Georgios Tziritas Computer Science Department

Lesson 6. MPEG Standards. MPEG - Moving Picture Experts Group Standards - MPEG-1 - MPEG-2 - MPEG-4 - MPEG-7 - MPEG-21

Outline Introduction MPEG-2 MPEG-4. Video Compression. Introduction to MPEG. Prof. Pratikgiri Goswami

CMPT 365 Multimedia Systems. Media Compression - Video Coding Standards

Lecture 5: Video Compression Standards (Part2) Tutorial 3 : Introduction to Histogram

Video Coding Standards. Yao Wang Polytechnic University, Brooklyn, NY11201 http: //eeweb.poly.edu/~yao

AUDIO AND VIDEO COMMUNICATION MEEC EXERCISES. (with abbreviated solutions) Fernando Pereira

Video Compression Standards (II) A/Prof. Jian Zhang

ISO/IEC Information technology Coding of audio-visual objects Part 15: Advanced Video Coding (AVC) file format

ERROR-ROBUST INTER/INTRA MACROBLOCK MODE SELECTION USING ISOLATED REGIONS

Lecture 3 Image and Video (MPEG) Coding

Video Coding Standards

Multimedia Standards

Objective Evaluation of Video Segmentation Quality

VIDEO COMPRESSION STANDARDS

Advanced Video Coding: The new H.264 video compression standard

Compression and File Formats

Integrating Low-Level and Semantic Visual Cues for Improved Image-to-Video Experiences

MULTIMEDIA COMMUNICATION

THE FAST evolution of digital technology in the last

MPEG-4 departs from its predecessors in adopting a new object-based coding:

Week 14. Video Compression. Ref: Fundamentals of Multimedia

MpegRepair Software Encoding and Repair Utility

Fernando Pereira. Instituto Superior Técnico

An Adaptive Scene Compositor Model in MPEG-4 Player for Mobile Device

Introduction to LAN/WAN. Application Layer 4

Chapter 11.3 MPEG-2. MPEG-2: For higher quality video at a bit-rate of more than 4 Mbps Defined seven profiles aimed at different applications:

MPEG-2. ISO/IEC (or ITU-T H.262)

An Adaptive MPEG-4 Streaming System Based on Object Prioritisation

Bluray (

The Scope of Picture and Video Coding Standardization

White paper: Video Coding A Timeline

5LSE0 - Mod 10 Part 1. MPEG Motion Compensation and Video Coding. MPEG Video / Temporal Prediction (1)

FRACTAL COMPRESSION USAGE FOR I FRAMES IN MPEG4 I MPEG4

4G WIRELESS VIDEO COMMUNICATIONS

Media - Video Coding: Standards

Standard Codecs. Image compression to advanced video coding. Mohammed Ghanbari. 3rd Edition. The Institution of Engineering and Technology

THE MPEG-4 STANDARD FOR INTERNET-BASED MULTIMEDIA APPLICATIONS

TransMu x. Users Manual. Version 3. Copyright PixelTools Corporation

HIERARCHICAL VISUAL DESCRIPTION SCHEMES FOR STILL IMAGES AND VIDEO SEQUENCES

Module 10 MULTIMEDIA SYNCHRONIZATION

Upcoming Video Standards. Madhukar Budagavi, Ph.D. DSPS R&D Center, Dallas Texas Instruments Inc.

Overview of the MPEG-4 Standard

Delivery Context in MPEG-21

ADAPTIVE JOINT H.263-CHANNEL CODING FOR MEMORYLESS BINARY CHANNELS

IO [io] MAYAH. IO [io] Audio Video Codec Systems

The Implement of MPEG-4 Video Encoding Based on NiosII Embedded Platform

Module 10 MULTIMEDIA SYNCHRONIZATION

SHAPE CODING IN MPEG-4: AN OVERVIEW Signal Compression, ECE 242, Project Report

VIDEO AND IMAGE PROCESSING USING DSP AND PFGA. Chapter 3: Video Processing

微电子学院 School of Microelectronics. Welcome Back to Fundamentals of Multimedia (MR412) Fall, 2012 Chapter 12 ZHU Yongxin, Winson

Object-Based Transcoding for Adaptable Video Content Delivery

IEE 5037 Multimedia Communications Lecture 12: MPEG-4

System Modeling and Implementation of MPEG-4. Encoder under Fine-Granular-Scalability Framework

Information technology - Coding of audiovisual objects - Part 2: Visual

Multimedia Systems Video II (Video Coding) Mahdi Amiri April 2012 Sharif University of Technology

Interframe coding A video scene captured as a sequence of frames can be efficiently coded by estimating and compensating for motion between frames pri

Video Transcoding Architectures and Techniques: An Overview. IEEE Signal Processing Magazine March 2003 Present by Chen-hsiu Huang

Fast Motion Estimation for Shape Coding in MPEG-4

WHITE PAPER. Director Prof. Dr.-Ing. Albert Heuberger Am Wolfsmantel Erlangen

EE 5359 H.264 to VC 1 Transcoding

Video coding. Concepts and notations.

Transcoding Using the MFP Card

Overview of the MPEG-4 Version 1 Standard

Video Compression An Introduction

1 2 Two-Dimensional Shape Coding

MPEG-2. And Scalability Support. Nimrod Peleg Update: July.2004

Video Coding Using Spatially Varying Transform

EE Low Complexity H.264 encoder for mobile applications

Modeling and Scheduling for MPEG-4 Based Video Encoder Using a Cluster of Workstations

USING METADATA TO PROVIDE SCALABLE BROADCAST AND INTERNET CONTENT AND SERVICES

MPEG's Dynamic Adaptive Streaming over HTTP - An Enabling Standard for Internet TV. Thomas Stockhammer Qualcomm Incorporated

Next-Generation 3D Formats with Depth Map Support

Digital video coding systems MPEG-1/2 Video

Figure 1: Representation of moving images using layers Once a set of ane models has been found, similar models are grouped based in a mean-square dist

WHITE PAPER ON2 TECHNOLOGIES, INC. TrueMotion VP7 Video Codec. January 10, 2005 Document Version: 1.0

Advanced Encoding Features of the Sencore TXS Transcoder

VIDEO streaming applications over the Internet are gaining. Brief Papers

High Efficiency Video Coding: The Next Gen Codec. Matthew Goldman Senior Vice President TV Compression Technology Ericsson

Digital Video Processing

Professor, CSE Department, Nirma University, Ahmedabad, India

MPEG-4: Simple Profile (SP)

Video Compression. Learning Objectives. Contents (Cont.) Contents. Dr. Y. H. Chan. Standards : Background & History

Adaptation of Scalable Video Coding to Packet Loss and its Performance Analysis

For layered video encoding, video sequence is encoded into a base layer bitstream and one (or more) enhancement layer bit-stream(s).

Performance Analysis of DIRAC PRO with H.264 Intra frame coding

Multimedia Technology CHAPTER 4. Video and Animation

ISO/IEC INTERNATIONAL STANDARD. Information technology Coding of audio-visual objects Part 18: Font compression and streaming

Digital Imaging and Communications in Medicine (DICOM)

INTERNATIONAL ORGANISATION FOR STANDARDISATION ORGANISATION INTERNATIONALE DE NORMALISATION ISO/IEC JTC1/SC29/WG11 CODING OF MOVING PICTURES AND AUDIO

Image and video processing

Lecture 5: Error Resilience & Scalability

MPEG-7 Context and Objectives

Transcription:

IST MPEG-4 Video Compliant Framework João Valentim, Paulo Nunes, Fernando Pereira Instituto de Telecomunicações, Instituto Superior Técnico, Av. Rovisco Pais, 1049-001 Lisboa, Portugal Abstract This paper describes an MPEG-4 video compliant framework for the creation, encoding and decoding of video scenes composed of multiple video objects. The generated scenes can be compliantly encoded and the bitstreams can be decoded resulting in individual video objects that can be independently accessed in the decoded scene. 1. Introduction Recognizing that audiovisual content should be created and represented using a framework that is able to give the user as many as possible real-world like capabilities, such as interaction and manipulation, MPEG decided, in 1993, to launch a new project, well known as MPEG-4. Since human beings do not want to interact with abstract entities, such as pixels, but rather with meaningful entities that are part of the scene, the concept of object is central to MPEG-4. MPEG-4 models an audiovisual scene as a composition of audiovisual objects with specific characteristics and behavior, notably in space and time. The object composition approach allows to support new functionalities, such as object-based interaction, manipulation and hyper-linking, as well as to improve already available functionalities, such as coding efficiency by just using for each type of object the most adequate coding tools and parameters. The MPEG-4 standard is divided in several parts, among them: Part 1: Systems which specifies scene description, multiplexing, synchronization, buffer management, and management and protection of intellectual property; Part 2: Visual which specifies the coded representation of natural and synthetic visual objects; Part 3: Audio which specifies the coded representation of natural and synthetic audio objects; Part 4: Conformance Testing which defines conformance conditions for bitstreams and devices; this part is used to test MPEG-4 implementations; and Part 5: Reference Software which includes software corresponding to most parts of MPEG-4 (normative and non-normative tools); it can be used for implementing compliant products as ISO waives the copyright of the code. The MPEG-4 audiovisual coding standard has been designed to be generic in the sense that it does not target a particular application but instead includes many coding tools that can be used for a wide variety of applications, under different situations, notably in terms of bitrate, type of channel and storage media, and delay constraints [1]. This toolbox approach provides the mechanisms to cover a wide range of audiovisual applications from mobile multimedia communications to studio and interactive TV [1, 2]. Since it is not reasonable that all MPEG-4 visual terminals support the whole MPEG-4 visual toolbox, subsets of the MPEG-4 Visual standard tools [3] have been defined, using the concept of profiling, to address classes of applications with similar functional and operational requirements. A similar approach has been applied to the audio tools as well as to the systems tools. This approach allows manufacturers to implement only the subsets of the standard that they need to achieve particular functionalities, while maintaining interoperability with other MPEG-4 devices built within the same conditions, and also to restrict the computational resources required by the given terminals. A subset of the syntax and semantics corresponding to a subset of tools of the MPEG-4 Visual standard [3] defines a visual profile, while sets of restrictions within each visual profile, e.g. in terms of computational resources or memory, define the various levels of a profile [4]. Moreover since a scene may include visual objects coded using different tools, object types define the syntax of the bitstream for one single object that can represent a meaningful entity in the (audio or visual) scene. Note that object types correspond to a list of tools, in this case applied to each object and not to the scene as a whole. Following the definition of audio and visual object types, audio and visual profiles are defined as sets of audio and visual object types, respectively. In order that a particular set of visual data bitstreams building a scene may be considered compliant with a given MPEG-4 visual profile@level combination, it must not contain any disallowed syntax element for that profile and additionally it must not violate the Video Buffering Verifier mechanism constraints [3]. This mechanism, based on a virtual buffer approach, allows the encoder to limit the decoding computational resources required, notably the picture memory, the decoding speed and the bitstream memory. This paper presents an MPEG-4 video compliant framework developed at Instituto Superior Técnico (IST) allowing the user to interactively create video scenes composed of multiple video objects (VOs); the resulting video scenes can be compliantly encoded with an appropriate MPEG-4 video profile@level combination selected by the user. In this paper, video profiles are referred meaning the visual profiles that do not include visual object types corresponding to synthetic visual data, e.g. facial animation or 2D meshes object types. 2. IST MPEG-4 Video Compliant Framework Modules The framework here presented allows the user to create his/her own video scenes or modify existing ones. After each object is attributed a certain object type, these scenes can be encoded with an appropriate MPEG-4 video profile@level,

and the generated streams can later be decoded by using the same framework. All these actions are done with a userfriendly graphical interface shown in Figure 1. In order to provide the functionalities mentioned above, the application has been structured in three independent modules: video scene editor, MPEG-4 compliant video encoder (in the sense that the encoder creates compliant sets of video streams) and MPEG-4 compliant video decoder. 2.1 Video scene editor With the video scene editor, the user has the possibility to interactively create a new video scene or edit an existing one, to add, modify or delete video objects from the scene. The video scene editor is organized in three distinct areas (Figure 1): Video object tree On the left side, there is a tree with the video objects already selected, which are red when they are included in the scene and gray if not yet included. All options related to the video objects can be accessed by clicking on them with the right mouse button. Composition and visualization area On the center, there is the scene being composed together with the buttons that control the player. The video objects can be dragged to change their spatial position and their characteristics may be changed with the right mouse button. Time bar On the bottom of the working area, there is the time bar which lets the user to specify the temporal position of all the video objects by dragging the blue bars. Beside that, the output tab shows useful information during the encoding process. The tree and the time bar can be hidden to maximize the scene working area. Creating a new video object The video objects can be selected among existing ones or created from scratch (by using existing frame-based video and segmentation masks generated with an available interactive video segmentation tool [5]). An arbitrarily shaped video object is defined by a sequence file and a mask file that isolates the object from the rest of the sequence and may correspond to only a part of the whole original sequence. The start and stop frame indicate the temporal limits of the video object relative to the original sequence. The creation of new video objects can be easier if information about the masks exist in a file supplied for this purpose. In this way, all the masks that exist for a given sequence can be selected visually, as show in Figure 2. The video object under construction by adding or removing some of the masks already available may be previewed and thus a new video object that is a composition of other video objects can be created. The individual VOs that exist in the scene and that are selected can be viewed by passing the mouse cursor over them. Figure 1 Screenshot of the IST MPEG-4 video compliant framework

Figure 2 Creation of a new video object Creating a scene A new scene, understood like a composition of several video objects is created by specifying the following parameters: Scene spatial resolution The scene vertical and horizontal dimensions, in terms of luminance pixels; the user may choose from a set of standard formats, e.g. CIF, QCIF or SIF, or directly specify the dimensions. Scene duration The scene duration in seconds; the scene frequency is equal to the higher frame/vop frequency of the video objects composing the scene. Scene name The name identifying the scene. Adding video objects to a scene After creating a video object or opening a previously saved one, it appears on the video objects tree. By right clicking the video object on the tree, a menu appears letting the user: Add the VO to the scene under composition. Play the VO. Obtain information about the VO. Save the VO. If the VO duration is greater than the scene duration, a dialog box appears in order that the VO is cut to the appropriate duration for the scene. In this dialog box, a start and stop frame can be chosen to set the start and stop frame of the VO relative to the original sequence. Once a video object is in the scene, its icon on the tree turns red. On the other hand, video objects not in the scene have a gray icon on the tree. The VOs are placed in the scene by specifying their spatial, temporal, and relative depth positions (Figure 3). The spatial position of each VO is defined by dragging the VO on the scene, while the temporal position is defined by dragging the corresponding blue time bar at the bottom. Afterwards, the user can either choose to save the edited scene and/or to encode it. 2.2 MPEG-4 video compliant encoder The video object encoder used in this framework is a modified version of the MPEG-4 video reference software implementation [6] (MoMuSys-FDIS-V1.0-990812): the IST MPEG-4 video compliant codec. This codec implements the MPEG-4 Video Buffering Verifier mechanism following the architecture proposed in [7], allowing the user to compliantly encode the created scenes by choosing the appropriate object type for each video object and the profile@level for the scene. Figure 3 Composition of a scene

Additionally, the coding structure of the IST MPEG-4 video codec has been modified in order that a basic principle is followed for each coding time instant: all analysis processing is performed before all coding. With this structure, it is possible to implement more powerful rate control solutions, with the analysis data reflecting the instantaneous characteristics of each VO being used to efficiently distribute the available resources before really encoding each VOP (Video Object Plane). This is especially useful when the scene or a particular VO changes its characteristics rapidly and thus the allocation and distribution of resources should quickly reflect these changes. Moreover, with this structure, the encoder can take the adequate actions when facing an imminent violation of the Video Buffering Verifier mechanism, such as skipping the encoding of one or more VOPs when the incoming VOPs exceed the Video Memory Verifier (VMV) limits or the Video Complexity Verifier (VCV) limits (decoding complexity). This is not so efficiently handled when only statistics of the previous time instant are used as in the case of the original MPEG-4 reference software implementation. Currently, the IST MPEG-4 video compliant framework supports the encoding of video scenes with the simple and core profiles at all levels. In the case of the core profile, B- VOPs and temporal scalability are not yet fully supported. In the near future, the encoder will also include an intelligent shape and texture intra refreshment scheme, based on the content characteristics, to offer increased error resilience for the generated bitstreams. When encoding a scene, the user has to specify all the userconfigurable encoding parameters, which will be fed into the video encoder, or to rely on default parameters. The encoding parameters can be defined for the scene and for each video object. At the scene level, it is possible to define the type of scene level rate control and the scene profile and level. For each video object, a large number of encoding parameters are available, which can be grouped in the following classes: temporal structure, user data, error resilience, motion, quantization, rate control, shape, scalability and complexity estimation (Figure 4). Figure 4 Object properties and encoding parameters Rate control For a bitstream to be MPEG-4 compliant, the encoder has to implement algorithms that control the bit rate. The rate control ensures that the Video Buffering Verifier is not violated, i.e. that the corresponding buffers occupancy is not exceeded. The rate control algorithms are not normalized because their rigid specification is not necessary to ensure interoperability; this flexibility stimulates industry competition in this area with obvious results in terms of reaching better and more efficient equipments. The rate control can be defined at the object level (independently for each object) or at the scene level (jointly for the scene). In the object level rate control, the user can define the rate control parameters for every layer of each video object. Since scalability is not implemented in this version of the software, only the base layer is available for control. In the scene level rate control, the type of rate control that is used in the encoding procedure is defined. Three types of rate control have been implemented: None - The rate control is not used and the quantization step is constant. In this case, the encoder may generate bitstreams that are not MPEG-4 compliant. Independent - The rate is independently specified for each video object and never changes during the encoding process. Joint - The total available rate is dynamically distributed among all the objects in the scene, depending on their characteristics, e.g. size, activity, texture complexity. In this case, the user defines the target rate and the buffer size for the entire scene. The default values for these two parameters depend on the profile@level chosen. The user can also define the bit rate distribution weights related to the various criteria used to distribute the rate among the various objects in the scene (these values must add to one). Profiling The definition of the scene profile and level and of the object type for each object is essential to generate compliant streams. The profile defines the set of tools that is used during the encoding and the level specifies the restrictions that are imposed to the profile, through the limitation of some relevant parameters. The object type corresponds to a list of tools that can be used to encode a given video object. The following object types and profiles are available in the framework: Simple, Simple Scalable, Core, N-Bit and Main. This object types and profiles are defined in Version 1 of the MPEG-4 Visual standard [3]. After the scene is composed and the right object types (for example, it is impossible to choose an object type allowing only to code rectangular video objects for an arbitrarily shaped object), profile and level are set, the encoding may start. If the scene contains video objects that were scaled from an original (dimensions with a scale different from 100%) or that were defined through a composition of masks, they have to be first saved to disk in order that the encoding

procedure may start. The user is warned about the need for this operation. During the encoding process, a chart shows the evolution of the occupancy of the various Video Buffering Verifier buffers (Figure 5). In this chart, the evolution of the video rate buffer verifier (VBV), video complexity verifier (VCV), boundary macroblocks video complexity verifier (B-VCV) and video reference memory verifier (VMV) may be seen. This graphical information allows the user to easily analyze the scene complexity in terms of the Video Buffering Verifier memories occupancy, since the chart shows the occupancy percentages. Due to the rate control actions, and in order to generate compliant streams, none of the memories should go above 100% or under 0% occupancy. Figure 5 Video buffering verifier chart Other useful information is shown in the output bar at the bottom of the working area during the encoding process. Among this information there are warnings about the typical scene size, the buffer capacity that is exceeded (leading to non compliant bitstreams) and frame skipping (happening when the scene is too complex to be always encoded with the original frame rate for the selected profile@level). The buffer capacity may be exceeded only if the rate control is disabled. After the encoding process stops, some encoder statistics may be viewed. The statistics shown for each object are the total number of bits used, the average number of bits per VOP, the average number of shape bits per VOP and the average PSNR for the three texture components Y, U and V. 2.3 MPEG-4 video compliant decoder After the scene has been encoded and each video elementary stream generated, the user can interactively decode selected elementary streams using an integrated video decoder and display the composed objects. The decoded video objects are individually accessible, and their spatial and temporal position can be changed like when composing a scene. This is, in fact, the heart of the MPEG-4 vision: for the first time, the objects may be independently accessed, decoded and manipulated. At the time of writing, the decoder basically corresponds to the MoMuSys reference software mentioned above. However, object and scene error concealment techniques are currently being developed to be integrated in this framework. In conclusion, this framework provides a user-friendly environment to interactively create video scenes, encode them compliantly with an appropriate MPEG-4 visual profile@level, and decode and visualize the composed scenes. 3. Conclusion This paper briefly described the ongoing work at IST regarding the implementation of the MPEG-4 natural visual profiles and levels and robust decoding which resulted in the development of an MPEG-4 video compliant framework for the creation, encoding and decoding of video scenes composed of multiple video objects. The major objective of this framework is to allow the study, comparison, testing and validation of MPEG-4 normative tools already developed such as the Video Buffering Verifier as well as the easy integration of non-normative tools for study, comparison and testing, such as rate control, intra refreshment and error concealment strategies. References [1] MPEG Requirements Group, MPEG-4 Applications Document, Document ISO/IEC JTC1/SC29/WG11/N2724, 47 th MPEG meeting, Seoul, March 1999. [2] MPEG Requirements Group, MPEG-4 Overview, Document ISO/IEC JTC1/SC29/WG11/N3930, 55 th MPEG meeting, Pisa, January 2001. [3] ISO/IEC 14496-2:1999 Information technology Coding of audiovisual objects Part 2: Visual, December 1999. [4] Rob Koenen, Profiles and Levels in MPEG-4: Approach and Overview, Tutorial Issue on the MPEG-4 Standard, Signal Processing: Image Communication, vol. 15, nº 4-5, pp. 463-478, December 1999. [5] João Ascenso, Paulo Correia, Fernando Pereira, A Video Segmentation Toolbox with Support for User Interaction, ConfTele2001, Figueira da Foz, Portugal, April 2001. [6] MPEG-4 Reference Software FDIS Document ISO/IEC JTC1/SC29/WG11/N2805, 48 th MPEG meeting, Vancouver, July 1999. [7] Paulo Nunes, Fernando Pereira, Implementing the MPEG-4 Natural Visual Profiles and Levels, Doc. M4878, 48 th MPEG meeting, Vancouver, July 1999.