Wireless Sensor Networks (WSN) have gained considerable research interest due to its wider applicability and efficiency. Due to the technological advancement, the WSN is multifaceted and one of the facets is the Wireless Visual Sensor Network (WVSN). The core functionality of WVSN is to handle multimedia data that involves data processing and transference, which, in turn, consumes more energy. Data transference requires more energy and the energy consumption is reduced by the concept of compressive sensing. Understanding the benefits of compressive sensing, this article proposes an adaptable compressive scheme that relies on the texture property of the video frames. The texture property is extracted by means of Local Directional Pattern (LDP). The performance of the proposed approach is evaluated in terms of image quality, time, and energy consumption. The proposed approach outperforms the comparative approaches with reasonable performance. © 2019 John Wiley & Sons, Ltd.