Kyung-Mo Park

MMT: An Emerging MPEG Standard for Multimedia Delivery over the Internet

Content-centric networking promises more efficient distribution of data through in-network caching and the propagation of content through the network. This networking paradigm poses a number of challenges and new opportunities for more efficient multimedia delivery. The MPEG Media Transport (MMT) standard is being developed to address these needs with specifications for encapsulation, delivery, and signaling, which enable fine-grained content access with uniquely identifiable names for optimized content delivery.

AKULA -- Adaptive Cluster Aggregation for Visual Search

Key point features are very effective tools in image matching and key point feature aggregation is an effective scheme for creating a compact representation of the images for visual search. This solution not only achieves compression, but also offers the benefits of better accuracy in matching and indexing efficiency. Research is active in this area and recent results on Fisher Vector based aggregation have shown to be very effective in a number of application scenarios. In this paper, we present a new direct aggregation scheme that is adaptive to the descriptor distributions from individual images and does not enforce a single generative model such as GMM in the Fisher Vector type aggregation. Moreover, it achieves better compression as well as image matching accuracy. Simulation results with the image identification data set from MPEG Compact Descriptor for Visual Search (CDVS) effort demonstrate the effectiveness of this approach.

Low delayed Mobile Live Streaming method and its implementation

The volume of live data transmitted across wireless and mobile networks continues to grow at a rapid speed. In addition, HTTP Live Streaming (HLS) has been widely used for mobile live contents streaming both on WiFi and 3G/LTE networks. Compared to legacy media streaming protocols such as HLS, RTSP, MPEG Media Transport (MMT) [1] real-time live streaming protocol provides low delayed video streaming feature by fragmenting media data into very small size chunks and having short signaling interval. We have developed low delayed mobile live streaming system which is so-called True Real-time Mobile Live Streaming (TRMLS) based on MPEG MMT standards with customized technologies and will introduce implementations in this paper.

A method for fast channel switching based on MPEG Media Transport for broadcast TV

This paper proposes a method for fast channel switching using the MPEG Media Transport (MMT) standard. Based on the multimedia data formats specified in MMT, data units such as media processing units (MPU) and signaling messages will be sent according to the order derived from data unit format. During broadcast, the MPU size is designed with careful consideration of bandwidth utilization and synchronization between different devices when receiving broadcast data. Additionally the sending order of UDP packets belong to an MPU is set such that fast channel switching time is achieved when user accesses channels randomly. To evaluate the proposed method, theoretical analysis of the method was performed and results are presented. The results show that software solution using of this method can achieve shorter channel switching time than prior broadcast TV solutions.

Dynamic voltage and frequency scaling over delay constrained mobile multimedia service

This paper proposes an application of dynamic voltage and frequency scaling (DVFS) which is used in the power saving technique to process video decoding which requires much energy consumption in handheld devices having power limitations. The proposal of this paper is a DVFS application method to prevent an execution delay while applying DVFS and the complexity estimation method. The proposed method can achieve energy gains in power-limited and quality-sensitive video decoding settings by providing a computationally inexpensive power management technique.

Communicating and migratable interactive multimedia documents

In ubiquitous computing environments, new interactive multimedia applications need to be mobile, device independent, potentially distributed across devices and to leverage existing services in the environment. Multimedia documents, when combined with scripting technologies, can represent complex interactive multimedia applications. However, they are still not appropriate for the creation of migratable, distributed applications in dynamic environments. We present a framework for interactive multimedia documents, which enables the communication of documents with a changing environment, the mobility of documents and the distribution of communicating document components in this environment. This framework uses an original approach, which describes communication processing outside of the document. It is based on: an abstraction model for dynamic network services; the definition of a binding description language that describes how to connect the network processing with the multimedia document processing; and on associated script programming interfaces. An implementation is presented and several examples, demonstrating in particular document mobility and document modularity, are discussed.

An MPEG-based Widget System for CE and mobile devices

This paper presents the architecture of a Widget System capable of streaming, adapting and aggregating widgets. It is designed for CE and mobile devices based on the MPEG-4 Scene Description Languages, enabling streaming and usage of interactive and animated rich media data in the widgets and relying on the MPEG-21 standard to provide adaptation means.

Performance Evaluation of the Emerging Media-Transport Technologies for the Next-Generation Digital Broadcasting Systems

Moving pictures experts group (MPEG) media transport (MMT) and MPEG-dynamic adaptive streaming over hypertext transfer protocol (MPEG-DASH) are emerging as the content-delivery technologies for the next-generation broadcasting systems, as they seamlessly utilize various underlying delivery networks to provide hybrid multimedia services in any location. In this paper, we present an empirical analysis of the channel-zapping time, which is an important metric in the measurement of the quality of experience (QoE) of broadcast services, regarding the MMT and MPEG-DASH technologies. During this process, we also clarify the important factors that determine the channel-zapping time of the individual technologies. In addition, we propose a simple yet effective method that enables fast channel zapping for the MMT technology.

High resolution video streaming method by cloud and DASH

This paper presents that video files encoded to patch are transferred to number of nodes over a cloud at the same time. The download speed of client can be improved by using distributed links via DASH of cloud nodes. Client can receive the stream like bandwidth improvement of P2P architecture.

Cascade of Box (CABOX) Filters for Optimal Scale Space Approximation

Local image features, such as blobs and corners, have proven to be very useful for several computer vision applications. However, for enabling applications such as visual search and augmented reality with near-realtime latency, blob detection can be quite computationally expensive due to numerous convolution operations. In this paper, we present a sparse convex formulation to determine a minimal set of box filters for fast yet robust approximation to the Gaussian kernels used for blob detection. We call our feature detector as CABOX (CAscade of BOX) detector. Although box approximations to a filter have been studied in the literature, previous approaches suffer from one or more of the following problems: 1) ad hoc box filter design, 2) non-elegant trade-off between filter reconstruction quality and speed and, 3) limited experimental evaluation considering very small datasets. This paper, on the other hand, contributes: 1) an elegant optimization approach to determine an optimal sparse set of box filters, and 2) a comprehensive experimental evaluation including a large scale image matching experiment with about 16 K matching and 170 K non-matching image pairs. Our experimental results show a substantial overlap (89%) between the features detected with our proposed method and the popular Difference-of-Gaussian (DoG) approach. And yet CABOX is 44% faster. Moreover, the large scale experiment shows that CABOX closely reproduces DoGs performance in an end-to-end feature detection and matching pipeline.