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The papers in this special section focus on the topic of urban multimedia computing. Presents emerging methods in multimedia computing for urban analysis and applications. Urban computing is a process of acquisition, integration, analysis, and understanding of the urban data generated from various sources, e.g., sensors, devices, and social media, for various applications. Multimedia computing plays

Self-driving cars leverage on semantic segmentation to understand an urban scene. However, it is costly to collect segmentation labels, thus, synthetic datasets are used to train segmentation models. Unfortunately, the synthetic to real domain shift causes these models to perform poorly. Prior works use adversarial training to align features of both synthetic and real-world images. We observe that

8 k ultra-high definition (UHD) is paving the way for the next-generation video systems. In the audiovisual industry, besides delivering a more immersive experience, it is a mean to smooth spatial artifacts during video sampling. In the medical industry, it may provide surgeons with increased reality in surgeries such as endoscopy. Nevertheless, researchers are struggling to meet the high throughput

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To evaluate the driving behavior of unmanned vehicles, the testing of driving algorithms using urban road images is necessary. In this article, we propose a framework using generative adversarial networks (GANs) with structural information for image style transfer: StructureGAN and GradientGAN. Different types of urban image transfers are generated using the proposed framework, such as day to night

In this article, an effective approach is proposed for nonrigid structure from motion to deal with the image sequence with a complex deformation. In the proposed method, a three-dimensional (3-D) structure is first divided into multiple local trajectory groups by utilizing the distance weights of the pairwise points. For each local trajectory group, a weak estimator is constructed by means of the kernel

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With the explosion of multimedia data, machine learning applications are proliferating. Privacy concerns have recently resurfaced, due to a few prominent incidents of user data leakage, which divulged sensitive information to other people. Multimedia data platform providers––social networks, their affiliates or governments with access to users’ content––use algorithms to profile users by extracting

Multimedia research has long moved beyond laboratory experiments and is being rapidly deployed in real-life applications including advertisements, search, security, automated driving, and healthcare. Hence, the developed algorithms now have a direct impact on the individuals using the abovementioned services and the society as a whole. While there is a huge potential to benefit the society using such

High expansion of urban population and infrastructure complemented by recent geopolitical world events, triggered an increasingly alarming number of threats. Law enforcement authorities are now challenged to redesign societal security concepts. Although current technological advances eased the information access, e.g., via video surveillance cameras, satellite data, drones, wearables, manual analysis

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The block-based representation learning method has been proven to be a very effective method for person reidentification (Re-ID), but the features extracted by the existing block-based approach tend to have a high correlation among different blocks. Also, these methods perform less well for persons with large posture changes. Thus, part-based nondirect coupling representation learning method is proposed

With the maturity of artificial intelligence technology, large-scale visual geolocalization (LSVGL) is increasingly important in urban computing, where the task is to accurately and efficiently recognize the geolocation of a given query image. The main challenge of LSVGL faced by many experiments due to the appearance of real-word places may differ in various ways while perspective deviation almost

Feature coding has been recently considered to facilitate intelligent video analysis for urban computing. Instead of raw videos, extracted features in the front-end are encoded and transmitted to the back-end for further processing. In this article, we present a lossless key-point sequence compression approach for efficient feature coding. The essence of this predict-and-encode strategy is to eliminate

Maintaining electronic patient records is the primary role for the fruitful implementation of the telehealth services in urban areas to enhance the quality of healthcare. These records frequently shared in-between professionals and healthcare centers so as to develop efficient tool(s) for accurate diagnosis purpose. However, protection of these records is a challenging task in the current era. In this

With the rapid advancement of real-time rendering quality in digital art, the use of computer vision techniques has become popular in producing aesthetically pleasing stylized images of natural scenes. However, the processing time to produce a stylized image is high, especially in resource-constrained environments, such as smart devices. Most stylized imaging approaches are unable to preserve the fine

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With the rapid development in the areas of multisensory hard- and software and the emergence of Tactile Internet, new media such as haptics, smell, olfaction, etc., nowadays, play a prominent role in making virtual objects physically tangible in a collaborative and/or networked virtual environment. By allowing users to feel each other's presence and physically manipulate objects from their interacted

We introduce the color ratio concept and treat the challenge of automatically analyzing the color and width/height proportion ratios in the recognized paintings. The first time the authors, by using the computer simulations, show that majority of paintings having both proportions, the color and width/height proportion ratios are less than the Golden ratio (GR) and larger than the Aesthetic ratio. The

Four of the most viable glasses-free three-dimensional display methods were chosen for our research at NTU's Advanced Displays Laboratory. Our multilayer light field display enables a smaller form factor. Faster algorithms combined with horizontal parallax-only speed-up Tensor Display computation time. A spin-off from this is an augmented reality light field near-eye display with focus cues. Our head-tracked

One of the main challenges in current multimedia networking environments is to find solutions to help accommodate the next generation of mobile application classes with stringent Quality of Service (QoS) requirements while enabling the Quality of Experience (QoE) provisioning for users. One such application class, featured in this article, is 360° mulsemedia—multiple sensorial media—which enriches

People express their emotions through multiple channels, such as visual and audio ones. Consequently, automatic emotion recognition can be significantly benefited by multimodal learning. Even-though each modality exhibits unique characteristics; multimodal learning takes advantage of the complementary information of diverse modalities when measuring the same instance, resulting in enhanced understanding

The use of recommendation systems has been extensively applied to different fields from the suggestion of multimedia content to other areas such as education. Thereof, the integration of affect-related information becomes a key factor to enhance the user experience and, when it comes to learning, it can be translated into the maximization of knowledge acquisition. The existence of affect-enhanced datasets

Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.

Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.

Manga, or comics, which are a type of multimodal artwork, have been left behind in the recent trend of deep learning applications because of the lack of a proper dataset. Hence, we built Manga109, a dataset consisting of a variety of 109 Japanese comic books (94 authors and 21 142 pages) and made it publicly available by obtaining author permissions for academic use. We carefully annotated the frames

Retaining the reconstruction quality of electrocardiogram (ECG) data compression is crucial for diagnosis demands. However, traditional wavelet-based approaches suffer from complicated distortion control. The most fundamental way to overcome this difficulty is to avoid the use of the time-domain distortion measure that requires the complete decoding process. In this article, based on the reversible

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Scene analysis is a relevant research field for its several applications in the area of computer vision. This paper attempts to analyze scene information present in the image by augmenting salient object information with background information. The salient object is initially identified using a method called as Minimum Directional Contrast (MDC). The underlying assumption behind using this method for

Medicine information retrieval has grown significantly and is based on the structural similarity of medicine molecules. The chemical structural formula (CSF) is a primary search target as a unique identifier for each compound in the research field of medical information. This paper introduces a graph-based CSF retrieval system, PharmKi, which accepts the photos taken from smartphones and the sketches

We propose a novel feature extraction method and a cost function for stereo matching, that is robust and stable in matching images from different photographing conditions. Based on the Spearman rank correlation, for the pixel in the window centered around a certain pixel, the code is proposed as a rank sequence obtained from an ordered set of the pixel values. We also apply the same approach to X-gradient

We show how to perform automatic attribution of movie's authorship by the statistical analysis of two simple formal features: the length of camera takes (shot duration), and the distance between the camera and the subject (shot scale). Experiments include 143 films by eight distinguishable directors over 70 years of historiography of author cinema.

The big picture of 5G will bring a range of new unique service capabilities, where ensuring Quality of Experience (QoE) continuity in challenging situations such as high mobility, e.g., on-board user equipments (UEs) in high-speed train (HST) are one of the sharp killer applications. In this paper, we propose a mobile edge computing (MEC) driven solution to improve the QoE for UEs in the HST with perceived

We proposed a residual-based post-processing for high-efficiency video coding (HEVC). Based on the proposed network, residual-based video restoration network (residual-VRN), the decoded image quality, has been improved significantly. We experimentally verified the superiority of the method.