Multimedia scientists have largely focused their research on the recognition of tangible properties of data, such as objects and scenes. Recently, the field has started evolving towards the modeling of more complex properties. For example, the ...

Educational and Knowledge Technologies (EdTech), especially in connection to multimedia content and the vision of mobile and personalized learning, is a hot topic in both academia and the business start-ups ecosystem. The driver and enabler of this is ...

In hospitals all around the world, medical multimedia information systems have gained high importance over the last few years. One of the reasons is that an increasing number of interventions are performed in a minimally invasive way. These endoscopic ...

Social media websites have become an important channel for content sharing and communication between users on social networks. The shared images on the websites, even the ones from the same user, tend to receive a quite diverse distribution of views. ...

Popularity prediction, aiming at predicting target items' total interactions with users, is a very significant type of problem and has attracted a lot of attention in recent years. It can benefit a lot of real applications, such as cold-start ...

The overwhelming volume and complexity of information in online applications make recommendation essential for users to find information of interest. However, two major limitations that coexist in real world applications (1) incomplete user profiles, ...

With the proliferation of e-commerce websites and the ubiquitousness of smart phones, cross-domain image retrieval using images taken by smart phones as queries to search products on e-commerce websites is emerging as a popular application. One challenge ...

Food is rich of visible (e.g., colour, shape) and procedural (e.g., cutting, cooking) attributes. Proper leveraging of these attributes, particularly the interplay among ingredients, cutting and cooking methods, for health-related applications has not ...

Recently image question answering (ImageQA) has gained lots of attention in the research community. However, as its natural extension, video question answering (VideoQA) is less explored. Although both tasks look similar, VideoQA is more challenging ...

In this paper, we address the challenging problem of vehicle license plate image super-resolution. Different from existing image super-resolution approaches only resorted to one single image, we propose to leverage complementary information from multiple ...

Metric learning is an important issue in the person verification problem, which is to identify whether a pair of face or human body images is about the same person. Due to low running cost, the non-iterative statistical inference methods for metric ...

Approximate Nearest Neighbour (ANN) search is an important research topic in multimedia and computer vision fields. In this paper, we propose a new deep supervised quantization method by Self-Organizing Map (SOM) to address this problem. Our method ...

The ego-noise generated by the motors and propellers of a micro aerial vehicle (MAV) masks the environmental sounds and considerably degrades the quality of the on-board sound recording. Sound enhancement approaches generally require knowledge of the ...

In this paper a novel incremental dimensionality reduction (DR) technique called incremental accelerated kernel discriminant analysis (IAKDA) is proposed. Consisting of the eigenvalue decomposition of a relatively small-size matrix and the recursive ...

Cross-media retrieval aims at seeking the semantic association between different media types. Most existing methods paid much attention on learning mapping functions or finding the optimal spaces, but neglected how people accurately cognize images and ...

Recently, deep neural networks based hashing methods have greatly improved the multimedia retrieval performance by simultaneously learning feature representations and binary hash functions. Inspired by the latest advance in the asymmetric hashing scheme,...

Recently, some cross-modal hashing methods have been devised for cross-modal search task. Essentially, given a similarity matrix, most of these methods tackle a discrete optimization problem by separating it into two stages, i.e., first relaxing the ...

Outlier detection is a crucial part of robust evaluation for crowdsourceable assessment of Quality of Experience (QoE) and has attracted much attention in recent years. In this paper, we propose some simple and fast algorithms for outlier detection and ...

Current image emotion recognition works mainly classified the images into one dominant emotion category, or regressed the images with average dimension values by assuming that the emotions perceived among different viewers highly accord with each other. ...

For sketch-based image retrieval (SBIR), we propose a generative adversarial network trained on a large number of sketches and their corresponding real images. To imitate human search process, we attempt to match candidate images with theimaginary image ...