• The Transactions of the Korea Information Processing Society
• /
• v.4 no.11
• /
• pp.2679-2689
• /
• 1997

In this paper, a multimedia authoring system using temporal/spatial synchronization manager is designed and implemented to support easy and efficient generation of multimedia title. For this goal, a flowchart-oriented logic generator which represents a title author's design intent into a practical title composition logic without extra translation process, and a logic interpreter which translate and implement the generated title logic, are designed. Furthermore, a temporal/spatial synchronization manager which manages temporal/spatial synchronization information between media data for multimedia representation, is designed. Especially, a temporal specification model and MRL, a formal language for the model, are designed to synchronize the temporal relation between media objects. The MRL represents a complex temporal relation by simple and clear form, and synchronizes efficiently multimedia representation according to the author's intent. A presentation frame editor which makes coincidence between visible size of representation media and attachment point, is implemented for spatial synchronization.

• Journal of KIISE
• /
• v.43 no.9
• /
• pp.963-973
• /
• 2016

Providing a semantic knowledge system using media ontologies requires not only conventional axiom reasoning but also knowledge extension based on various types of reasoning. In particular, spatio-temporal information can be used in a variety of artificial intelligence applications and the importance of spatio-temporal reasoning and expression is continuously increasing. In this paper, we append the LOD data related to the public address system to large-scale media ontologies in order to utilize spatial inference in reasoning. We propose an RDFS/Spatial inference system by utilizing distributed memory-based framework for reasoning about large-scale ontologies annotated with spatial information. In addition, we describe a distributed spatio-temporal SPARQL parallel query processing method designed for large scale ontology data annotated with spatio-temporal information. In order to evaluate the performance of our system, we conducted experiments using LUBM and BSBM data sets for ontology reasoning and query processing benchmark.

• The Transactions of the Korean Institute of Electrical Engineers D
• /
• v.53 no.8
• /
• pp.606-610
• /
• 2004

A noble caption text detection and recognition algorithm using the temporal nature of video is proposed in this paper. A text registration technique is used to locate the temporal and spatial positions of captions in video from the accumulated frame difference information. Experimental results show that the proposed method is effective and robust. Also, a high processing speed is achieved since no time consuming operation is included.

• Proceedings of the Korean Society for Cognitive Science Conference
• /
• 2010.05a
• /
• pp.42-47
• /
• 2010

Speech shares acoustic features with other sound-based processing, which makes it difficult to distinguish phonological process from acoustic process in speech processing. In this study, we examined the difference between acoustic process and phonological process during repetition tasks. By contrasting various stimuli in different lengths, we localized neural correlates of acoustic process within bilateral superior temporal gyrus, which was consistent with the previous studies. The activated patterns were widely overlapped between words and pseudowords, i.e., contents-free. In contrast, phonological process showed left-lateralized activation in middle temporal gyrus located at anterior temporal areas. It implies that phonological process is contents-specific as shown in our previous study, and at the same time, more language-specific. Thus, we suggest that phonological process is distinguished from acoustic process in that it is always accompanied with the obligatory access to available phonological codes, which can be an entry of the mental lexicon.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2000.10a
• /
• pp.691-694
• /
• 2000

인터넷을 통한 정보 전송이 급증하고 있는 오늘날 멀티미디어 데이터 전송 또한 상당 부분을 차지하고 있다. 그러나 네트워크 대역폭이 보장되지 않고 유동적인 인터넷상에서 실시간으로 멀티미디어 정보를 전송하는 것은 여러 가지 문제점을 안고 있다. 이에 멀티미디어 데이터의 스케일러블 전송에 대한 연구가 등장하게 되었다. 본 논문에서는 동적으로 변하는 네트워크 QoS에 따라 MPEG 비디오 스트림의 스케일러블 전송이 가능하도록 하는 Temporal-Fidelity Scaling 기법에 대해 제안하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2001.04a
• /
• pp.217-220
• /
• 2001

이질적인 환경인 인터넷을 통한 멀티미디어 서비스가 확산됨에 따라 다량의 데이터를 가지는 비디 스트림의 전송이 늘어나게 되었다. 이로 인해 네트워크 트래픽의 대부분을 멀티미디어 데이터가 차지하게 되었고, 통신망 자원의 효율적인 사용을 위하여 사용자의 컴퓨터 환경이나 통신망의 환경을 고려한 비디오 데이터 전송에 관한 연구가 필요하게 되었다. 이에 본 논문에서는 네트워크 QoS 를 고려하여 MPEG 비디오 데이터를 전송하도록 하기 위하여 Temporal Scaling 기법과 QoS 에 따라 frame-rate 을 조절하여 전송할 수 있는 Scalable 전송 기법을 제안한다. 본 논문에서 제안하는 기법을 사용하여 MPEG 비디오 데이터를 전송할 때 보다 효율적으로 통신망 자원을 사용할 수 있게 된다.

• Journal of Information Processing Systems
• /
• v.17 no.2
• /
• pp.242-252
• /
• 2021

Following the intuition that the local information in time instances is hardly incorporated into the posterior sequence in long short-term memory (LSTM), this paper proposes an attention augmented mechanism for fault diagnosis of the complex chemical process data. Unlike conventional fault diagnosis and classification methods, an attention mechanism layer architecture is introduced to detect and focus on local temporal information. The augmented deep network results preserve each local instance's importance and contribution and allow the interpretable feature representation and classification simultaneously. The comprehensive comparative analyses demonstrate that the developed model has a high-quality fault classification rate of 95.49%, on average. The results are comparable to those obtained using various other techniques for the Tennessee Eastman benchmark process.

• Journal of Information Processing Systems
• /
• v.18 no.2
• /
• pp.235-244
• /
• 2022

Many new techniques have been adopted in HEVC (High efficiency video coding) standard, such as quadtree-structured coding unit (CU), prediction unit (PU) partition, 35 intra-mode, and so on. To reduce computational complexity, the paper proposes two optimization algorithms which include fast CU depth range decision and fast PU partition mode decision. Firstly, depth range of CU is predicted according to spatial-temporal correlation. Secondly, we utilize the depth difference between the current CU and CU corresponding to the same position of adjacent frame for PU mode range selection. The number of traversal candidate modes is reduced. The experiment result shows the proposed algorithm obtains a lot of time reducing, and the loss of coding efficiency is inappreciable.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2010.11a
• /
• pp.1586-1588
• /
• 2010

디지털 비디오 압축기술은 대용량의 영상을 화질 손실을 최소화하면서 압축률을 높이는 데에 그 목적이 있다. 모바일 디바이스에서 인코딩/디코딩시에는 프로세싱 오버헤드를 최소화 시켜야 할 필요성이 있다. 또한 특정 동영상을 압축할 시 불필요한 영상을 줄여 압축률을 높이고 타겟 오브젝트에 집중할 수 있도록 하기 위해서 Hierarchical Temporal Memory 를 사용해 오브젝트를 인식하고 타겟 오브젝트만 선택 압축하는 기술을 제안하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2009.11a
• /
• pp.287-288
• /
• 2009

Multi-query optimization (MQO) is a critical research issue in the real-time data stream management system (DSMS). We propose to address this problem in the ubiquitous GIS (u-GIS) environment, focusing on grouping 'similar' spatio-temporal queries incrementally into N clusters so that they can be processed virtually as N queries. By minimizing N, the overlaps in the data requirements of the raw queries can be avoided, which implies the reducing of the total disk I/O cost. In this paper, we define the spatio-temporal query clustering problem and give a data cubing approach (Q-cube), which is expected to be implemented in the cloud computing paradigm.