Encoding (memory)

About: Encoding (memory) is a research topic. Over the lifetime, 7547 publications have been published within this topic receiving 120214 citations. The topic is also known as: memory encoding & encoding of memories.

Dynamic image encoding device, dynamic image decoding device, dynamic image encoding method, and dynamic image decoding method

Abstract: When the encoding mode corresponding to a coding block divided by a block division unit (2) is an inter-encoding mode of a direct mode, a motion compensation prediction unit (5) selects a motion vector appropriate for generating a prediction image, from among one or more selectable motion vectors, generates a prediction image by executing a motion compensation prediction process for the coding block using the motion vector, and outputs index information indicating the motion vector to a variable length encoding unit (13); and the variable length encoding unit (13) performs variable length encoding of the index information.

Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual Cross Retrieval

Abstract: Cross-modal hashing is usually regarded as an effective technique for large-scale textual-visual cross retrieval, where data from different modalities are mapped into a shared Hamming space for matching. Most of the traditional textual-visual binary encoding methods only consider holistic image representations and fail to model descriptive sentences. This renders existing methods inappropriate to handle the rich semantics of informative cross-modal data for quality textual-visual search tasks. To address the problem of hashing cross-modal data with semantic-rich cues, in this paper, a novel integrated deep architecture is developed to effectively encode the detailed semantics of informative images and long descriptive sentences, named as Textual-Visual Deep Binaries (TVDB). In particular, region-based convolutional networks with long short-term memory units are introduced to fully explore image regional details while semantic cues of sentences are modeled by a text convolutional network. Additionally, we propose a stochastic batch-wise training routine, where high-quality binary codes and deep encoding functions are efficiently optimized in an alternating manner. Experiments are conducted on three multimedia datasets, i.e. Microsoft COCO, IAPR TC-12, and INRIA Web Queries, where the proposed TVDB model significantly outperforms state-of-the-art binary coding methods in the task of cross-modal retrieval.

Dynamic Processes Within Associative Memory Stores: Piecing Together the Neural Basis of Creative Cognition

Abstract: Memory is essential for creativity. Consider, for example, the classical four-stage model of creativity proposed by Wallas (1926), based on the ideas of Helmholtz (1896). In this model, creative achievement occurs through preparation, incubation, illumination, and verification. Clearly, memory processes figure prominently at every stage of this model. Preparation, the stage in which adequate knowledge of the creative domain is acquired, necessarily involves extensive encoding of information and the ability to retain that information over time. Verification, the stage in which creative output is evaluated in terms of its accuracy or utility, must involve the retrieval of information and skills necessary for the appraisal. The incubation and illumination stages involve memory processes insofar as previously acquired information is recombined to generate and recognize a novel idea. How can memory be so flexible such that information acquired in one way can be manipulated and recapitulated in so many other ways? What clues are there to the brain mechanisms underlying these dynamic memory processes? We attempt to address these questions in this chapter by conceptualizing creative cognition as a set of separable but interdependent cognitive processes that collectively generate creative output. We are particularly interested in processes that interact with information stored in memory to either facilitate or hinder the novel recombining of ideas that is characteristic of creative cognition. We first describe the associationist approach to creativity, one that is amenable to a variety of cognitive and neuroscientific analyses.

Cognitive organization and coding of social structures.

Abstract: This article intends to investigate the manner in which social information is stored in and retrieved from memory. In particular, we examine memory for social information denned by the "balance" principle. Constructive encoding models are compared with models positing a general drift (in memory) toward

Restrict Encoding for Mixed-Mode BIST

Abstract: Programmable mixed-mode BIST schemes combine pseudo-random pattern testing and deterministic test. This paper presents a synthesis technique for a mixed-mode BIST scheme which is able to exploit the regularities of a deterministic test pattern set for minimizing the hardware overhead and memory requirements. The scheme saves more than 50% hardware costs compared with the best schemes known so far while complete programmability is still preserved.