An online approach is proposed for Video registration of dynamic scenes, such as scenes with dynamic textures, moving objects, motion parallax, etc. This approach has three steps: (i) Assume that a few frames are already registered. (ii) Using the registered frames, the next frame is predicted. (iii) A new video frame is registered to the predicted frame. Frame prediction overcomes the bias int...

One of the modern paradigms to develop an application is object oriented analysis and design. In this paradigm, there are several objects and each object plays some specific roles in applications. In an application, we must distinguish between procedural semantics and declarative semantics for their implementation in a specific programming language. For the procedural semantics, we can write a ...

Photon counting imaging can be used to capture clearly photon-limited scenes. In photon imaging, information on incident photons is obtained as binary frames (bit-plane frames), which are transformed into a multi-bit image in the reconstruction process. this process, it necessary apply deblurring method enable of dynamic scenes without motion blur. article, for high-quality bit-plane frame prop...

This note presents Nikon’s approach to the multimedia event detection (MED) task of TRECVID 2010. We explain the basic concept of our system which detects events by multiple keyframes extraction based on scene length. We describe the algorithm in detail and show experimental results with the MED dataset. Our simple system got the third place among seven teams of participants. 1 Basic Concept We...

In this paper, a novel efficient algorithm is presented for locating and tracking object parts in low resolution videos using Lowe’s SIFT keypoints with a nearest neighbor object detection approach. Our interest lies in using this information as one step in the process of automatically programming service, household, or personal robots to perform the skills that are being taught in easily obtai...

In this paper, we propose a nonlinear structural hashing (NSH) approach to learn compact binary codes for scalable video search. Unlike most existing video hashing methods which consider image frames within a video separately for binary code learning, we develop a multi-layer neural network to learn compact and discriminative binary codes by exploiting both the structural information between di...

We examined the role of spatial frames of reference in memory. Participants first verified verbal descriptions of visual scenes and spatial relations among objects. The intrinsic and relative frames of reference (FoR) were used in the descriptions with varying degrees of frequency (availability) and veridicality (reliability). Descriptions in the two reference frames could either be equally dis...

It is common in various non-classical logics, especially relevant to characterize negation semantically via the operation known as Routley star. This works well within relational semantic frameworks based on prime theories. We study this context of "information-based" semantics for which it characteristic that sets formulas supported by individual information states are theories do not have be ...

This study examined priming spatial memory by frames of reference. Participants verified verbal descriptions of scenes which depicted spatial relations among objects. The intrinsic and relative frames of reference were used in the descriptions with varying degrees of veridicality. Descriptions in the two reference frames could either be equally distributed in terms of validity (50:50 ratio of t...

partial frames provide a rich context in which to do pointfree structured and unstructured topology. a small collection of axioms of an elementary nature allows one to do much traditional pointfree topology, both on the level of frames or locales, and that of uniform or metric frames. these axioms are sufficiently general to include as examples bounded distributive lattices, $sigma$-frames, $ka...