Images, video, or multimedia are words that currently sound familiar to the majority of people. An enormous amount of video is daily produced by surveillance systems or broadcast companies, but also by travelers who want to keep the memories of new places visited. Considering such an amount of multimedia data, its analysis, processing, indexing and retrieval is a truly challenging task. From th...

Online tracking of speakers is an important task for applications in smart environments such as camera control, meeting annotation and speech separation. Challenges for an audio-only system are small-room reverberation, noise, the unknown number of speakers, and gaps occurring in natural speech. Combining models from neurobiology and cognitive psychology with many-channel signal processing and ...

We present an interactive text to 3D scene generation system that learns the expected spatial layout of objects from data. A user provides input natural language text from which we extract explicit constraints on the objects that should appear in the scene. Given these explicit constraints, the system then uses prior observations of spatial arrangements in a database of scenes to infer the most...

Three experiments were conducted to investigate the existence of incidentally acquired, long-term, detailed visual memory for objects embedded in previously viewed scenes. Participants performed intentional memorization and incidental visual search learning tasks while viewing photographs of real-world scenes. A visual memory test for previously viewed objects from these scenes then followed. P...

In daily life, we are surrounded by objects with pre-existing motivational associations. However, these are rarely controlled for in experiments with natural stimuli. Research on natural stimuli would therefore benefit from stimuli with well-defined motivational properties; in turn, such stimuli also open new paths in research on motivation. Here we introduce a database of Motivational Objects ...

Human observers are able to rapidly and accurately categorize natural scenes, but the representation mediating this feat is still unknown. Here we propose a framework of rapid scene categorization that does not segment a scene into objects and instead uses a vocabulary of global, ecological properties that describe spatial and functional aspects of scene space (such as navigability or mean dept...

A novel language visualization system is presented here that is capable of understanding some concrete nouns, visualizable adjectives and spatial prepositions in full natural language sentences to generate 3D scenes. The system has a rule based question answering component and it can answer spatial inference questions about the scene created by these sentences. This work is the first step of ou...

Recognizing text in natural scene images refers to the problem of identifying words that present on it. Scene text recognition is very difficult due to some reasons such as, images contain very little amount of linguistic context, interpreting versions of letters and digits are required for scene text recognition and also scene text can appear in any orientation. Most of the existing works are ...

A change to an object in natural scenes attracts attention when it occurs during a fixation. However, when a change occurs during a saccade, and is masked by saccadic suppression, it typically does not capture the gaze in a bottom-up manner. In the present work, we investigated how the type and direction of salient changes to objects affect the prioritization and targeting of objects in natural...